```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```

Based on the given feature description and task, the feature "n_p_ecg_p_04" represents the presence or absence of Type 1 Second-degree AV block on the patient's ECG at the time of admission to the hospital. The feature is a categorical variable with two possible values: "no" and "yes".

To determine if the patient has chronic heart failure, we need to analyze the relationship between the feature "n_p_ecg_p_04" and the target variable of myocardial infarction complications indicating chronic heart failure.

From the information provided, it is not clear how the presence or absence of Type 1 Second-degree AV block on the ECG relates to chronic heart failure. Without additional context or domain-specific knowledge, it is difficult to predict the relationship between the feature and the target.

Since the feature "n_p_ecg_p_04" is a categorical variable and has only two possible values, we can create a dictionary to represent the relationship between the feature and the target. In this case, both target classes ("no" and "yes") have only one possible value for the feature.

Thus, the dictionary would be:

```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```

Please note that this analysis is based solely on the given feature description and does not consider any additional information or context that might impact the relationship between the feature and the target.