code: def convert_processed_lines(processed_lines):
      """
      Convert a list of sentences into documents suitable for the output methods in this module.
  
      Input: a list of lines, including space words
      Output: a list of documents, each document containing a list of sentences
              Each sentence is a list of words: (text, space_follows)
              Space words will be eliminated.
      """
      paragraphs = []
      sentences = []
      for words in processed_lines:
          # turn the words into a sentence
          if len(words) > 1 and " " == words[0]:
              words = words[1:]
          elif len(words) == 1 and " " == words[0]:
              words = []
  
          sentence = []
          for word in words:
              word = word.strip()
              if not word:
                  if len(sentence) == 0:
                      print(word)
                      raise ValueError(
                          "Unexpected space at start of sentence in document {}".format(
                              filename
                          )
                      )
                  sentence[-1] = (sentence[-1][0], True)
              else:
                  sentence.append((word, False))
          # blank lines are very rare in best, but why not treat them as a paragraph break
          if len(sentence) == 0:
              paragraphs.append([sentences])
              sentences = []
              continue
          sentence[-1] = (sentence[-1][0], True)
          sentences.append(sentence)
      paragraphs.append([sentences])
      return paragraphs
  
imports: import os
  import random
label_desc: Use image node_id 5 for calling a global function with example usage: convert_processed_lines(processed_lines) and returns: paragraphs