code: def add_lemma_column(sentence):
      rows = sentence.split("\n")
      result = []
      for row in rows:
          if row.startswith("# "):
              result.append(row)
          else:
              tokens = row.split("\t")
              lemma = text_normalize(tokens[0], tokenizer="space")
              if lemma != tokens[0]:
                  print(f"{tokens[0]} -> {lemma}")
              tokens.insert(1, lemma)
              new_row = "\t".join(tokens)
              result.append(new_row)
      new_sentence = "\n".join(result)
      return new_sentence
  
label_desc: Use image node_id 1 for calling a global function with example usage: add_lemma_column(sentence) and returns: new_sentence