[Bug]: Write to bigquery python SDK

### What happened?

I am trying to write to big query using the python SDK. I passed my table reference into WriteToBigQuery as project:dataset.Tablename

I get this error
`beam.py 162
parsed_results | beam.io.WriteToBigQuery(

bigquery.py 1934 __init__
self.table_reference = bigquery_tools.parse_table_reference(

bigquery_tools.py 244 parse_table_reference
if isinstance(table, TableReference):

TypeError:
isinstance() arg 2 must be a type, a tuple of types, or a union`

I looked in the sdk and I can't find where TableReference is defined, on line 87 of [bigquery tools](https://github.com/apache/beam/blob/6adecd438790d8c1b5182043db16232b68ff7a98/sdks/python/apache_beam/io/gcp/bigquery_tools.py), there is a line which imports the table reference but when I run the command myself it gives me an error `from apache_beam.io.gcp.internal.clients.bigquery import TableReference
*** ImportError: cannot import name 'TableReference' from 'apache_beam.io.gcp.internal.clients.bigquery' (/opt/homebrew/lib/python3.10/site-packages/apache_beam/io/gcp/internal/clients/bigquery/__init__.py)`

I believe this leads to the isinstance having a none as the table reference, which is breaking my code.
I have copied code from a few different places which supposedly would work and it all gives the same error, I really hope that I'm doing something dumb.

I even tried copying the [test](https://github.com/apache/beam/blob/6adecd438790d8c1b5182043db16232b68ff7a98/sdks/python/apache_beam/io/gcp/bigquery_tools_test.py) by importing and using the bigquery client:
`from apache_beam.io.gcp.internal.clients import bigquery
bigquery.TableReference()
*** AttributeError: module 'apache_beam.io.gcp.internal.clients.bigquery' has no attribute 'TableReference'
`

-------
Also, when I try to use the code from the docs there is a bracket missing from the table names variable and it uses the Create method twice which is not allowed and returns an error

`with Pipeline() as p:
elements = (p | beam.Create([
{'type': 'error', 'timestamp': '12:34:56', 'message': 'bad'},
{'type': 'user_log', 'timestamp': '12:34:59', 'query': 'flu symptom'},
]))

table_names = (p | beam.Create([
('error', 'my_project:dataset1.error_table_for_today'),
('user_log', 'my_project:dataset1.query_table_for_today'),
]) <------

table_names_dict = beam.pvalue.AsDict(table_names)

elements | beam.io.gcp.bigquery.WriteToBigQuery(
table=lambda row, table_dict: table_dict[row['type']],
table_side_inputs=(table_names_dict,))`

### Issue Priority

Priority: 1 (data loss / total loss of function)

### Issue Components

- [X] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner