SPARKNLP-732 Unify all externally supported file systems and cloud access

[danilojsl]

Description

This change introduces a redesign of the integration architecture with S3 and GCP.
Additionally, it adds Azure support for:

Defining cache_pretrained directory
Training NER logs
Importing HF models in Spark NLP
Loading TF Graphs for NER-DL

Motivation and Context

To have universal methods so we can deal with storage cloud providers (S3, GCP, and Azure )from the same classes

How Has This Been Tested?

Screenshots (if appropriate):

• Local tests
• Databricks notebooks
• Google Colab notebooks
• GCP Dataproc Cluster

Types of changes

• Bug fix (non-breaking change which fixes an issue)
• Code improvements with no or little impact
• New feature (non-breaking change which adds functionality)
• Breaking change (fix or feature that would cause existing functionality to change)

Checklist:

• My code follows the code style of this project.
• My change requires a change to the documentation.
• I have updated the documentation accordingly.
• I have read the CONTRIBUTING page.
• I have added tests to cover my changes.
• All new and existing tests passed.