### Apache Airflow Provider(s)

google

### Versions of Apache Airflow Providers

apache-airflow-providers-google==7.0.0

But the problem exists in all newer versions.

### Apache Airflow version

apache-airflow==2.3.2

### Operating System

Ubuntu 20.04.4 LTS

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### What happened

The `list_rows` method in the BigQuery Hook does not return the page_token value, which is necessary for paginating query results. Same problem with `get_datasets_list` method. 

The documentation for the `get_datasets_list` method even states that the page_token parameter can be accessed:
```
            :param page_token:  Token representing a cursor into the datasets. If not passed,
            the API will return the first page of datasets. The token marks the beginning of the
            iterator to be returned and the value of the ``page_token`` can be accessed at
            ``next_page_token`` of the :class:`~google.api_core.page_iterator.HTTPIterator`.
```
but it doesn't return HTTPIterator. Instead, it converts the `HTTPIterator` to `list[DatasetListItem]` using `list(datasets)`, making it impossible to retrieve the original `HTTPIterator` and thus impossible to obtain the `next_page_token`.

### What you think should happen instead

`list_rows` \ `get_datasets_list` methods should return `Iterator` OR both the list of rows\datasets and the page_token value to allow users to retrieve multiple results pages. For backward compatibility, we can have a parameter like `return_iterator=True` or smth like that. 

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

self,
        schema_fields_updates: list[dict[str, Any]],
        include_policy_tags: bool,
        dataset_id: str,
        table_id: str,
        project_id: str | None = None,
    ) -> dict[str, Any]:
        """
        Update fields within a schema for a given dataset and table. Note that
        some fields in schemas are immutable and trying to change them will cause
        an exception.
        If a new field is included it will be inserted which requires all required fields to be set.
        See https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#TableSchema
        :param include_policy_tags: If set to True policy tags will be included in
            the update request which requires special permissions even if unchanged
            see https://cloud.google.com/bigquery/docs/column-level-security#roles
        :param dataset_id: the dataset ID of the requested table to be updated
        :param table_id: the table ID of the table to be updated
        :param schema_fields_updates: a partial schema resource. see
            https://cloud.google.com/bigquery/docs/reference/rest/v2/tables#TableSchema
        **Example**: ::
            schema_fields_updates=[
                {"name": "emp_name", "description": "Some New Description"},
                {"name": "salary", "description": "Some New Description"},
                {"name": "departments", "fields": [
                    {"name": "name", "description": "Some New Description"},