### 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)

return BigQueryIntervalCheckTrigger(
        conn_id=TEST_CONN_ID,
        first_job_id=TEST_FIRST_JOB_ID,
        second_job_id=TEST_SECOND_JOB_ID,
        project_id=TEST_GCP_PROJECT_ID,
        table=TEST_TABLE_ID,
        metrics_thresholds=TEST_METRIC_THRESHOLDS,
        date_filter_column=TEST_DATE_FILTER_COLUMN,
        days_back=TEST_DAYS_BACK,
        ratio_formula=TEST_RATIO_FORMULA,
        ignore_zero=TEST_IGNORE_ZERO,
        dataset_id=TEST_DATASET_ID,
        table_id=TEST_TABLE_ID,
        poll_interval=POLLING_PERIOD_SECONDS,
    )
@pytest.fixture
def check_trigger():
    return BigQueryCheckTrigger(
        conn_id=TEST_CONN_ID,
        job_id=TEST_JOB_ID,
        project_id=TEST_GCP_PROJECT_ID,
        dataset_id=TEST_DATASET_ID,
        table_id=TEST_TABLE_ID,
        poll_interval=POLLING_PERIOD_SECONDS,
    )
@pytest.fixture
def value_check_trigger():