class_docstr: An alternative tokenizer that splits text by space and replaces all tokens with LOL 
class_docstr_tok: ["An","alternative","tokenizer","that","splits","text","by","space","and","replaces","all","tokens","with","LOL"]
code: def process(self, text):
      sentence = [
          {"id": (i + 1,), "text": "LOL"}
          for i, tok in enumerate(text.split())
      ]
      return Document([sentence], text)
  
imports: import pytest
  import stanza
  from stanza.models.common.doc import Document
  from stanza.pipeline.core import PipelineRequirementsException
  from stanza.pipeline.processor import Processor, ProcessorVariant, register_processor, register_processor_variant, ProcessorRegisterException
  from stanza.utils.conll import CoNLL
  from stanza.tests import *
label_desc: Use image node_id 2 for calling the LOLTokenizer obj's underlying member method code with example usage: obj.process(text) and returns: Document