Implement feature that read and write Table Artifact in parquet format

Describe your changes and why you are making these changes

WIP:

Handle outdated json serialized artifact. UI and SDK is good. Still need some work on server(Wednesday)
Test against S3 metadata storage and maybe compute engine + old table artifact+potential integration test(Thursday)
Benchmark parquet vs. json performance improvement(Friday)

Changes in

SDK: (1) change serialization method in serialization.py specifically read and write table. (2) SDK uses get_artifact_result_content handler to get artifact info from flow-run. We need to adapt to the new return value
Executor: Executor uses serialization from sdk/serialization.py so we don't have to change anything here.
Server: (1)We uses https://github.com/xitongsys/parquet-go to read Parquet bytes string as a parquet reader and output json data.(2) We also construct schema from the parquet file metadata for UI display.
UI: We receive from get_artifact_result_content handler of a schema and data. The data format is consistent with our current UI but we need some processing for schema.

[ ] I have created a descriptive PR title. The PR title should complete the sentence "This PR...".
[ ] I have performed a self-review of my code.
[ ] I have included a small demo of the changes. For the UI, this would be a screenshot or a Loom video.
[ ] If this is a new feature, I have added unit tests and integration tests.
[ ] I have run the integration tests locally and they are passing.
[ ] I have run the linter script locally (See python3 scripts/run_linters.py -h for usage).
[ ] All features on the UI continue to work correctly.
[ ] Added one of the following CI labels:
- run_integration_test: Runs integration tests
- skip_integration_test: Skips integration tests (Should be used when changes are ONLY documentation/UI)