### Apache Airflow version

main (development)

### What happened

1. When not providing `project_id` to `BigQueryGetDataOperator` in deferrable mode (`project_id=None`), the query generated by `generate_query` method is bugged, i.e.,: 

````sql
from `None.DATASET.TABLE_ID` limit ...
````

2. `as_dict` param does not work `BigQueryGetDataOperator`.

### What you think should happen instead

1. When `project_id` is `None` - it should be removed from the query along with the trailing dot, i.e.,:

````sql
from `DATASET.TABLE_ID` limit ...
````

2. `as_dict` should be added to the serialization method of `BigQueryGetDataTrigger`.

### How to reproduce

1. Create a DAG file with `BigQueryGetDataOperator` defined as follows:
```python
BigQueryGetDataOperator(
        task_id="bq_get_data_op",
        # project_id="PROJECT_ID",  <-- Not provided
        dataset_id="DATASET",
        table_id="TABLE",
        use_legacy_sql=False,
        deferrable=True
    )
````

2. 1. Create a DAG file with `BigQueryGetDataOperator` defined as follows:
```python
BigQueryGetDataOperator(
        task_id="bq_get_data_op",
        project_id="PROJECT_ID",
        dataset_id="DATASET",
        table_id="TABLE",
        use_legacy_sql=False,
        deferrable=True,
        as_dict=True
    )
````

### Operating System

Debian

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

The `generate_query` method is not unit tested (which would have prevented it in the first place) - will be better to add one.

### 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)

"""Executing a sql which returns a non-boolean value should raise exception"""
        test_sql = "SELECT * FROM any"
        operator = BigQueryCheckOperator(
            task_id="bq_check_operator_execute_complete",
            sql=test_sql,
            location=TEST_DATASET_LOCATION,
            deferrable=True,
        )
        expected_exception_msg = f"Test failed.\nQuery:\n{test_sql}\nResults:\n{[20, False]!s}"
        with pytest.raises(AirflowException) as exc:
            operator.execute_complete(context=None, event={"status": "success", "records": [20, False]})
        assert str(exc.value) == expected_exception_msg
    def test_bigquery_check_operator_execute_complete(self):
        """Asserts that logging occurs as expected"""
        operator = BigQueryCheckOperator(
            task_id="bq_check_operator_execute_complete",
            sql="SELECT * FROM any",
            location=TEST_DATASET_LOCATION,
            deferrable=True,
        )
        with mock.patch.object(operator.log, "info") as mock_log_info:
            operator.execute_complete(context=None, event={"status": "success", "records": [20]})
        mock_log_info.assert_called_with("Success.")
class TestBigQueryValueCheckOperator:
    @mock.patch("airflow.providers.google.cloud.operators.bigquery.BigQueryHook")
    def test_bigquery_value_check_async(self, mock_hook, create_task_instance_of_operator):