Based on the feature description, the feature "ZSN_A" represents the presence of chronic heart failure in the patient's medical history. The feature has four categories: "there is no chronic heart failure", "I stage", "IIА stage", and "IIB stage".

To analyze the relationship between "ZSN_A" and the target variable (chronic heart failure complications), we can examine the distribution of "ZSN_A" values within each target class. 

Let's assume that the target class for chronic heart failure complications is represented by "yes".

Here is the analysis and resulting dictionary:

```json
{
    "no": ["there is no chronic heart failure"],
    "yes": ["there is no chronic heart failure", "I stage", "IIА stage", "IIB stage"]
}
```

Based on the analysis, it seems that the presence of chronic heart failure in the patient's medical history can be related to the occurrence of chronic heart failure complications. The "yes" class includes all categories of "ZSN_A" values, indicating that patients with a history of chronic heart failure are more likely to experience complications. However, the "no" class only includes the category "there is no chronic heart failure", suggesting that patients without a history of chronic heart failure are less likely to experience complications.