code: def parse_pic_field(l, c, last_section_node, last_vars, line):
      parent_node = None
      raw_tokens = line.split(" ")
      tokens = []
      for t in raw_tokens:
          if not t.isspace() and t != "":
              tokens.append(t)
      try:
          if tokens[0].upper() == "FD":
              lvl = 1
          else:
              lvl = int(tokens[0], 16)
          name = tokens[1]
      except ValueError:
          return None
      except IndexError:
          return None
      name = name.replace(".", "")
      if name in ALL_KEYWORDS or name in ['-', '/']:
          return None
      m = re.findall(r'pic.*\.', line, re.IGNORECASE)
      if m:
          description = ' '.join([t for t in m[0].split(' ') if t])
      else:
          description = line
      try:
          index = description.lower().index('value')
      except ValueError:
          description = description.replace('.', '')
      else:
          description = description[index:].replace('value', '')[:80]
      if lvl == int('78', 16):
          lvl = 1
      if lvl == 1:
          parent_node = last_section_node
          last_vars.clear()
      else:
          levels = sorted(last_vars.keys(), reverse=True)
          for lv in levels:
              if lv < lvl:
                  parent_node = last_vars[lv]
                  break
      if not parent_node:
          return None
      if not name or name.upper().strip() == 'PIC':
          name = 'FILLER'
      node = Name(Name.Type.Variable, l, c, name, description)
      parent_node.add_child(node)
      last_vars[lvl] = node
      levels = sorted(last_vars.keys(), reverse=True)
      for l in levels:
          if l > lvl:
              last_vars.pop(l)
      return node