### Apache Airflow Provider(s)

snowflake

### Versions of Apache Airflow Providers

4.0.3

### Apache Airflow version

2.5.0

### Operating System

docker/linux

### Deployment

Astronomer

### Deployment details

Normal Astro CLI

### What happened

```
>>> SnowflakeOperator(
    ...,
    do_xcom_push=False
).execute()


ERROR - Task failed with exception
Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/airflow/providers/common/sql/operators/sql.py", line 272, in execute
    return self._process_output([output], hook.descriptions)[-1]
  File "/usr/local/lib/python3.9/site-packages/airflow/providers/snowflake/operators/snowflake.py", line 118, in _process_output
    for row in result_list:
TypeError: 'NoneType' object is not iterable
```

### What you think should happen instead

XCom's should be able to be turned off

### How to reproduce
1) 
```
astro dev init
```
2) `dags/snowflake_test.py`
```
import os
from datetime import datetime

from airflow import DAG
from airflow.providers.snowflake.operators.snowflake import SnowflakeOperator

os.environ["AIRFLOW_CONN_SNOWFLAKE"] = "snowflake://......."

with DAG('snowflake_test', schedule=None, start_date=datetime(2023, 1, 1)):
    SnowflakeOperator(
        task_id='snowflake_test',
        snowflake_conn_id="snowflake",
        sql="select 1;",
        do_xcom_push=False
    )
```
3) 
```
astro run -d dags/snowflake_test.py snowflake_test
```
```
Loading DAGs...
Running snowflake_test... [2023-02-17 18:45:33,537] {connection.py:280} INFO - Snowflake Connector for Python Version: 2.9.0, Python Version: 3.9.16, Platform: Linux-5.15.49-linuxkit-aarch64-with-glibc2.31
...
[2023-02-17 18:45:34,608] {cursor.py:727} INFO - query: [select 1]
[2023-02-17 18:45:34,698] {cursor.py:740} INFO - query execution done
...
[2023-02-17 18:45:34,785] {connection.py:581} INFO - closed
[2023-02-17 18:45:34,841] {connection.py:584} INFO - No async queries seem to be running, deleting session
FAILED
  'NoneType' object is not iterable
```

### 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)

"""
    Performs checks against a db. The ``SQLCheckOperator`` expects
    a sql query that will return a single row. Each value on that
    first row is evaluated using python ``bool`` casting. If any of the
    values return ``False`` the check is failed and errors out.
    Note that Python bool casting evals the following as ``False``:
    * ``False``
    * ``0``
    * Empty string (``""``)
    * Empty list (``[]``)
    * Empty dictionary or set (``{}``)
    Given a query like ``SELECT COUNT(*) FROM foo``, it will fail only if
    the count ``== 0``. You can craft much more complex query that could,
    for instance, check that the table has the same number of rows as
    the source table upstream, or that the count of today's partition is
    greater than yesterday's partition, or that a set of metrics are less
    than 3 standard deviation for the 7 day average.
    This operator can be used as a data quality check in your pipeline, and
    depending on where you put it in your DAG, you have the choice to
    stop the critical path, preventing from
    publishing dubious data, or on the side and receive email alerts
    without stopping the progress of the DAG.
    :param sql: the sql to be executed. (templated)
    :param conn_id: the connection ID used to connect to the database.
    :param database: name of database which overwrite the defined one in connection
    :param parameters: (optional) the parameters to render the SQL query with.