In order to analyze the relationship between the feature 'SEX' and the occurrence of chronic heart failure in patients, we need to assess whether there is any association between the two.

To accomplish this, we can examine historical data on patients with myocardial infarction complications and observe the occurrences of chronic heart failure based on the gender of the patients.

Here is a potential analysis and the resulting dictionary:

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

In this case, the feature 'SEX' does not provide any specific information that helps predict the occurrence or absence of chronic heart failure. Both genders (male and female) appear in both categories of the target variable (yes and no). Therefore, the likelihood of chronic heart failure cannot be determined solely based on the gender of the patient.

Note that for the purpose of this analysis, we assume that the SEX feature is a reliable indicator and that there are sufficient samples for both target categories. However, if there are cases with missing or undefined values for SEX, they would not be included in the dictionary.