diff --git a/jc/parsers/universal.py b/jc/parsers/universal.py
new file mode 100644
index 00000000..2e52c944
--- /dev/null
+++ b/jc/parsers/universal.py
@@ -0,0 +1,83 @@
+"""jc - JSON CLI output utility universal Parsers"""
+
+
+import string
+
+
+def sparse_table_parse(data, delim='\u2063'):
+    """
+    Parse tables with missing column data or with spaces in column data.
+
+    Parameters:
+
+        data:        (list)  Text data to parse that has been split into lines via .splitlines().
+                             Item 0 must be the header row. Any spaces in header names should be
+                             changed to underscore '_'. You should also ensure headers are
+                             lowercase by using .lower(). Do not change the position of header
+                             names as the positions are used to find the data.
+
+                             Also, ensure there are no blank lines (list items) in the data.
+
+        delim:      (string) Delimiter to use. By default 'u\2063' (invisible separator) is used
+                             since this is unlikely to ever be seen in terminal output. You can
+                             change this for troubleshooting purposes or if there is a delimiter
+                             conflict with your data.
+
+    Returns:
+
+        dictionary   raw structured data
+    """
+    output = []
+    header_text = data.pop(0)
+    header_text = header_text + ' '
+    header_list = header_text.split()
+
+    # find each column index and end position
+    header_search = [header_list[0]]
+    for h in header_list[1:]:
+        header_search.append(' ' + h + ' ')
+
+    header_spec_list = []
+    for i, column in enumerate(header_list[0:len(header_list) - 1]):
+        header_spec = {
+            'name': column,
+            'end': header_text.find(header_search[i + 1])
+        }
+
+        header_spec_list.append(header_spec)
+
+    # parse lines
+    if data:
+        for entry in data:
+            output_line = {}
+
+            # insert new separator since data can contain spaces
+            for col in reversed(header_list):
+                # find the right header_spec
+                for h_spec in header_spec_list:
+                    if h_spec['name'] == col:
+                        h_end = h_spec['end']
+                        # check if the location contains whitespace. if not
+                        # then move to the left until a space is found
+                        while h_end > 0 and entry[h_end] not in string.whitespace:
+                            h_end -= 1
+
+                        # insert custom delimiter
+                        entry = entry[:h_end] + delim + entry[h_end + 1:]
+
+            # create the entry list from the new custom delimiter
+            entry_list = entry.split(delim, maxsplit=len(header_list) - 1)
+
+            # clean up leading and trailing spaces in entry
+            clean_entry_list = []
+            for col in entry_list:
+                clean_entry = col.strip()
+                if clean_entry == '':
+                    clean_entry = None
+
+                clean_entry_list.append(clean_entry)
+
+            output_line = dict(zip(header_list, clean_entry_list))
+            output.append(output_line)
+
+    return output