class_docstr: Tokenizer that uses SpaCy.
class_docstr_tok: ["Tokenizer","that","uses","SpaCy","."]
code: def _get_doc(
      self, message: Message, attribute: Text
  ) -> Optional["Doc"]:
      return message.get(SPACY_DOCS[attribute])
  
file_path: rasa/rasa/nlu/tokenizers/spacy_tokenizer.py
imports: import typing
  from typing import Dict, Text, List, Any, Optional, Type
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.nlu.utils.spacy_utils import SpacyNLP
  from rasa.nlu.tokenizers.tokenizer import Token, Tokenizer
  from rasa.nlu.constants import SPACY_DOCS
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 4 for calling the SpacyTokenizer obj's underlying member method code with example usage: obj._get_doc(message, attribute) and returns: message