Based on prior knowledge, it is expected that patients with obesity in the anamnesis may have a higher risk of developing chronic heart failure. To analyze the relationship between the feature endocr_02 (Obesity in the anamnesis) and the target variable (presence of chronic heart failure), we can examine the distribution of endocr_02 categories within each target class.

Here is the analysis and dictionary for the given feature and task:

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

In this case, there is only one category "yes" for obesity in the anamnesis, which indicates obesity is present in the patient's medical history. The category "no" indicates the absence of obesity in the anamnesis.

Since the feature endocr_02 only has two categories, "no" and "yes", we can directly map these categories to the target classes "no" and "yes" respectively. The lists contain the values of endocr_02 that correspond to each target class.