Use Latest FlyteIDL for MonoDoc CI

[Future-Outlier]

Problem

Currently, the latest flytekit and the latest flyteidl (beta version) are released.
I want to update the version in monodoc so that some PR used the latest flyteidl can be merged.

Solution

1. update the dependency in monodocs-environment.yaml
2. use conda-lock -f monodocs-environment.yaml --lockfile monodocs-environment.lock.yaml to update dependencies.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (bce5d8c) 59.02% compared to head (f27dd14) 59.02%.

Additional details and impacted files

@@           Coverage Diff           @@
##           master    #4694   +/-   ##
=======================================
  Coverage   59.02%   59.02%           
=======================================
  Files         643      643           
  Lines       55153    55153           
=======================================
+ Hits        32552    32555    +3     
+ Misses      20020    20018    -2     
+ Partials     2581     2580    -1     

Flag	Coverage Δ
unittests	59.02% <ø> (+<0.01%)	⬆️

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[Future-Outlier]

@pingsutw Please help merge it, thanks!

[Future-Outlier]

@cosmicBboy if possible, please take a look, thank you very much!

[Future-Outlier]

command I use:

conda-lock -f monodocs-environment.yaml --lockfile monodocs-environment.lock.yaml

error message:

Locking dependencies for ['linux-64', 'osx-arm64']...
INFO:conda_lock.conda_solver:linux-64 using specs ['python 3.9.*', 'pip *', 'codespell', 'furo', 'gitpython', 'ipython !=8.7.0', 'graphviz', 'jupytext', 'myst-nb', 'psycopg2-binary', 'recommonmark', 'sphinx 4.5.0', 'sphinx-prompt', 'sphinx-click', 'sphinx-autoapi', 'sphinx-copybutton', 'sphinx-issues', 'sphinx_fontawesome', 'sphinx-panels', 'sphinxcontrib-mermaid', 'sphinxcontrib-youtube 1.2.0', 'sphinx-tabs', 'sphinx-tags 0.2.1', 'retry', 'botocore', 'fsspec', 'google-cloud-bigquery', 'markdown', 'plotly', 'great-expectations', 'datasets', 'kubernetes', 'modin', 'pandera', 'pydantic', 'papermill', 'jupyter', 'polars', 'pyspark', 'sqlalchemy', 'pytorch', 'skl2onnx', 'numpy 1.23.5', 'tf2onnx', 'tensorflow >=2.13.0', 'scikit-learn', 'dask', 'mlflow 2.7.0', 'snowflake-connector-python', 'vaex-core']

[eapolinario]

subsumed by #4815