**Describe the unexpected behaviour**
Clickhouse does not support parquet with 'large_utf8' columns (only 'utf8'). From my understanding, the only difference is offsets are u64 in 'large_utf8' instead of u32

**How to reproduce**

```
import pyarrow
import pyarrow.parquet
import subprocess


for schema in (None,pyarrow.schema({"a": pyarrow.large_utf8()})):
    a = pyarrow.table({"a": ["00000"]}, schema=schema)
    pyarrow.parquet.write_table(a, "test.parquet")
    subprocess.run(
        """cat test.parquet | clickhouse local \
            --input-format "Parquet" \
            --structure "a String" \
            --query "select * from table"\
        """,
        shell=True,
        check=True,
    )

```
gives
```
00000
Code: 50. DB::Exception: Unsupported Parquet type 'large_utf8' of an input column 'a'.: While executing ParquetBlockInputFormat: While executing File. (UNKNOWN_TYPE)
```



{
    auto internal_type = std::make_shared<DataTypeString>();
    auto internal_column = internal_type->createColumn();
    PaddedPODArray<UInt8> & column_chars_t = assert_cast<ColumnString &>(*internal_column).getChars();
    PaddedPODArray<UInt64> & column_offsets = assert_cast<ColumnString &>(*internal_column).getOffsets();
    size_t chars_t_size = 0;
    for (size_t chunk_i = 0, num_chunks = static_cast<size_t>(arrow_column->num_chunks()); chunk_i < num_chunks; ++chunk_i)
    {
        arrow::BinaryArray & chunk = dynamic_cast<arrow::BinaryArray &>(*(arrow_column->chunk(chunk_i)));
        const size_t chunk_length = chunk.length();
        if (chunk_length > 0)
        {
            chars_t_size += chunk.value_offset(chunk_length - 1) + chunk.value_length(chunk_length - 1);
            chars_t_size += chunk_length; 
        }
    }
    column_chars_t.reserve(chars_t_size);
    column_offsets.reserve(arrow_column->length());
    for (size_t chunk_i = 0, num_chunks = static_cast<size_t>(arrow_column->num_chunks()); chunk_i < num_chunks; ++chunk_i)
    {
        arrow::BinaryArray & chunk = dynamic_cast<arrow::BinaryArray &>(*(arrow_column->chunk(chunk_i)));
        std::shared_ptr<arrow::Buffer> buffer = chunk.value_data();
        const size_t chunk_length = chunk.length();
        for (size_t offset_i = 0; offset_i != chunk_length; ++offset_i)
        {