code: def find_lemmata(tokens):
      """Annotates the tokens with lemmata for plural nouns and conjugated verbs,
      where each token is a [word, part-of-speech] list.
      """
      for token in tokens:
          word, pos, lemma = token[0], token[1], token[0]
          # cats => cat
          if pos == "NNS":
              lemma = singularize(word)
          # sat => sit
          if pos.startswith(("VB", "MD")):
              lemma = conjugate(word, INFINITIVE) or word
          token.append(lemma.lower())
      return tokens
  
imports: from __future__ import absolute_import
  import os
  from textblob._text import Parser, Sentiment, Lexicon, WORD, POS, CHUNK, PNP, PENN, UNIVERSAL, Spelling
  from textblob.compat import text_type, unicode
label_desc: Use image node_id 1 for calling a global function with example usage: find_lemmata(tokens) and returns: tokens