class EdenCapability:
    def __init__(self):
        self.state = {}
    
    def speak_and_understand_all_languages(self, text: str) -> dict:
        # Here we would ideally implement the language processing and understanding functionality using libraries like NLTK or spaCy. 
        # However, as an example, let's just return a dictionary with processed results.
        
        result = {
            "output": text,
            "language_understood": self._detect_and_translate(text)
        }
        return result
    
    def _detect_and_translate(self, text: str):
        # This is a placeholder function. A real implementation would detect the language and translate the text to all other languages.
        detected_language = "English"  # Placeholder for actual language detection and translation.
        
        translated_languages = {
            'Spanish': f'Hola, {text}',
            'French': f'Bonjour, {text}',
            'German': f'Hallo, {text}',
            # Add all other languages as needed.
        }
        
        return translated_languages