code: def resource_lexical_syntactic_featurizer() -> Resource:
      return Resource("LexicalSyntacticFeaturizer")
  
imports: import numpy
  import pytest
  import re
  from typing import Text, Dict, Any, Callable, List, Optional, Union
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.storage import ModelStorage
  from rasa.engine.storage.resource import Resource
  from rasa.nlu.constants import DENSE_FEATURIZABLE_ATTRIBUTES, MESSAGE_ATTRIBUTES, TOKENS_NAMES
  from rasa.nlu.tokenizers.spacy_tokenizer import POS_TAG_KEY
  from rasa.nlu.featurizers.sparse_featurizer.lexical_syntactic_featurizer import LexicalSyntacticFeaturizer, FEATURES
  from rasa.shared.nlu.training_data.training_data import TrainingData
  from rasa.shared.nlu.training_data.message import Message
  from rasa.shared.nlu.constants import FEATURE_TYPE_SEQUENCE, TEXT
  from rasa.shared.exceptions import InvalidConfigException
  from rasa.nlu.tokenizers.tokenizer import Token
label_desc: Use image node_id 1 for calling a global function with example usage: resource_lexical_syntactic_featurizer() and returns: Resource