input: from typing import List
  
  
  def extract_verbs(sentence: str) -> List[str]:
      """
      Extracts all the verbs from a given sentence using the Natural Language Toolkit (nltk).
      
      >>> extract_verbs("The cat jumped over the moon.")
      ['jumped']
      
      >>> extract_verbs("She quickly ran to the store.")
      ['quickly', 'ran']
      """
      tokens = nltk.word_tokenize(sentence)
      tags = nltk.pos_tag(tokens)
      verbs = [word for word, pos in tags if pos.startswith('V')]
      return verbs
output:     import nltk
      nltk.download('punkt')
      nltk.download('averaged_perceptron_tagger')