Based on the given feature description and task, we need to analyze the relationship between the feature `fibr_ter_03` and the presence of chronic heart failure in the patient.

To perform this analysis, we can look at the distribution of values for `fibr_ter_03` among the patients who do and do not have chronic heart failure. By comparing the distribution of this feature for each class, we can assess if there is any noticeable pattern or difference in the values.

Here is the analysis and dictionary generation based on the available information:

- For target class `no` (no chronic heart failure):
  - Possible values of feature `fibr_ter_03`: ['no', 'yes']

- For target class `yes` (chronic heart failure):
  - Possible values of feature `fibr_ter_03`: ['no', 'yes']

Since both target classes have the same possible values ('no' and 'yes') for the feature `fibr_ter_03`, we include both in the dictionary, even though there is no noticeable pattern or difference in the feature's values for each class.

The resulting dictionary is as follows:

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

Please note that the analysis is based solely on the provided feature and does not take into account any other relevant features or potential confounding factors.