input: 
  from typing import List, Tuple
  
  def extract_verbs(sentence: str) -> List[str]:
      """ Extracts and returns a list of verbs from the given sentence.
      >>> extract_verbs("The cat jumped over the moon.")
      ['jumped']
      >>> extract_verbs("Run, little rabbit, run!")
      ['Run', 'run', 'run']
      >>> extract_verbs("I walk to the store.")
      ['walk']
      """
      tokens = nltk.word_tokenize(sentence)
      tags = nltk.pos_tag(tokens)
      verbs = [word for word, pos in tags if pos.startswith('V')]
      return verbs
  
  import nltk
  nltk.download('punkt')
  nltk.download('averaged_perceptron_tagger')
  
output:     tokens = nltk.word_tokenize(sentence)
      tags = nltk.pos_tag(tokens)
      verbs = [word for word, pos in tags if pos.startswith('V')]
      return verbs