code: def tag_and_stem(text):
      
      tokens = tokenize(text)
      tagged = nltk.pos_tag(tokens)
      out = []
      for token, tag in tagged:
          stem = morphy_stem(token, tag)
          out.append((stem, tag, token))
      return out
docs: Returns a list of (stem, tag, token) triples:
  
      - stem: the word's uninflected form
      - tag: the word's part of speech
      - token: the original word, so we can reconstruct it later