You are working on a prototype of a text classification model in a managed Vertex AI Workbench notebook. You want to quickly experiment with tokenizing text by using a Natural Language Toolkit (NLTK) library. How should you add the library to your Jupyter kernel?

A. Install the NLTK library from a terminal by using the pip install nltk command. B. Write a custom Dataflow job that uses NLTK to tokenize your text and saves the output to Cloud Storage. C. Create a new Vertex AI Workbench notebook with a custom image that includes the NLTK library. D. Install the NLTK library from a Jupyter cell by using the !pip install nltk --user command.