### Apache Airflow Provider(s)

common-sql

### Versions of Apache Airflow Providers

```
apache-airflow-providers-amazon==6.0.0
apache-airflow-providers-apache-hive==4.0.1
apache-airflow-providers-apache-livy==3.1.0
apache-airflow-providers-celery==3.0.0
apache-airflow-providers-cncf-kubernetes==4.4.0
apache-airflow-providers-common-sql==1.3.0
apache-airflow-providers-databricks==3.3.0
apache-airflow-providers-dbt-cloud==2.2.0
apache-airflow-providers-elasticsearch==4.2.1
apache-airflow-providers-ftp==3.1.0
apache-airflow-providers-google==8.4.0
apache-airflow-providers-http==4.0.0
apache-airflow-providers-imap==3.0.0
apache-airflow-providers-microsoft-azure==4.3.0
apache-airflow-providers-postgres==5.2.2
apache-airflow-providers-redis==3.0.0
apache-airflow-providers-sftp==4.1.0
apache-airflow-providers-snowflake==3.3.0
apache-airflow-providers-sqlite==3.2.1
apache-airflow-providers-ssh==3.2.0
```

### Apache Airflow version

2.4.3

### Operating System

Debian Bullseye

### Deployment

Astronomer

### Deployment details

_No response_

### What happened

With the latest version of common-sql provider, the `get_records` from hook is now a ordinary dictionary, causing this KeyError with SqlSensor:
```
[2022-11-29, 00:39:18 UTC] {taskinstance.py:1851} ERROR - Task failed with exception
Traceback (most recent call last):
  File "/usr/local/lib/python3.9/site-packages/airflow/sensors/base.py", line 189, in execute
    poke_return = self.poke(context)
  File "/usr/local/lib/python3.9/site-packages/airflow/providers/common/sql/sensors/sql.py", line 98, in poke
    first_cell = records[0][0]
KeyError: 0
```
I have only tested with Snowflake, I haven't tested it with other databases. Reverting back to 1.2.0 solves the issue.

### What you think should happen instead

It should return an iterable list as usual with the query.

### How to reproduce

```
from datetime import datetime

from airflow import DAG
from airflow.providers.common.sql.sensors.sql import SqlSensor

with DAG(
    dag_id="sql_provider_snowflake_test",
    schedule=None,
    start_date=datetime(2022, 1, 1),
    catchup=False,
):
    t1 = SqlSensor(
        task_id="snowflake_test",
        conn_id="snowflake",
        sql="select 0",
        fail_on_empty=False,
        poke_interval=20,
        mode="poke",
        timeout=60 * 5,
    )
```

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] 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)

handler: Callable | None = None,
        split_statements: bool = True,
        return_last: bool = True,
    ) -> Any | list[Any] | None:
        """
        Runs a command or a list of commands. Pass a list of sql
        statements to the sql parameter to get them to execute
        sequentially. The variable execution_info is returned so that
        it can be used in the Operators to modify the behavior
        depending on the result of the query (i.e fail the operator
        if the copy has processed 0 files)
        :param sql: the sql string to be executed with possibly multiple statements,
          or a list of sql statements to execute
        :param autocommit: What to set the connection's autocommit setting to
            before executing the query.
        :param parameters: The parameters to render the SQL query with.
        :param handler: The result handler which is called with the result of each statement.
        :param split_statements: Whether to split a single SQL string into statements and run separately
        :param return_last: Whether to return result for only last statement or for all after split
        :return: return only result of the LAST SQL expression if handler was provided.
        """
        self.query_ids = []
        if isinstance(sql, str):
            if split_statements:
                split_statements_tuple = util_text.split_statements(StringIO(sql))
                sql_list: Iterable[str] = [
                    sql_string for sql_string, _ in split_statements_tuple if sql_string
                ]
            else:
                sql_list = [self.strip_sql_string(sql)]