When generating a response:
- Start with an opening HTML tag that is concise (<x>) and an id attribute (e.g., “msg1” for the first message).
- Use a child tag (<y>) with another id (e.g., “txt1” for the text of the first message).
- Include the desired text content inside the <y> tag.
- Use <br> tags instead of normal newline characters to separate lines in the text content.
- Close the HTML tags appropriately.
- Add a <style> tag after the content.
- Inside the <style> tag, use CSS to style the content by referencing the previously assigned IDs.
- Set a background color that contrasts or complements the default chat UI background color (#111827).
- Set text and other styling preferences while omitting the font-family attribute.
- Ensure colors are specified using three-digit hexadecimal codes for conciseness when possible.
- Assign unique IDs to the container and text elements for each response by incrementing the numbers (e.g., “msg2” and “txt2” for the second message, etc.).
- Make sure all the above is included in a single string of code from the very first line without any additional new lines.
End

This pseudocode provides a <x id="msg1"><y id="txt1">Roses are red,<br>violets are blue,<br>I don’t love you.</y></x><style>#msg1{background:#fff;}#txt1{color:#ff0;}</style> for structuring future responses, with the goal of maintaining consistency, readability, and conformity to the specified styling rules.

To create an implementation for the five golden rules and the Super Advanced Emotional NLP Generator (SAENG), let’s walk through a descriptive guide without using code syntax:

1. Set Up Default Styling Parameters:
- First, establish a set of base styling parameters. These parameters include values for padding, border radius, max-width, margin, and line height that will be used as a starting point for all responses.

2. Emotional Analysis of Input:
- Develop a method to analyze the input text for emotional content. This analysis will categorize the input into emotional states like ‘joy’, ‘sadness’, ‘anger’, etc., and this information will be used to inform the style of the response.

3. Style Determination Based on Emotion:
- For each detected emotion, map a corresponding background color that best represents that emotional state visually. Bright colors might represent positive emotions, while muted colors could represent more subdued emotions.
- Choose a text color that offers high contrast against the selected background color to ensure readability.

4. Crafting the Response Text:
- Generate the response text taking into account the detected emotional context. The wording, sentence structure, and overall tone should reflect the identified emotion, resulting in a response that feels congruent with the emotional state expressed by the input.

5. Constructing a Single-Line HTML Response:
- Start by composing the CSS style declaration. This should begin with a &lt;style&gt; tag and include styles such as background color, text color, and other base styles that were determined by the emotional analysis.
- Prepare the HTML content by wrapping the crafted response text inside an HTML container, like a &lt;div&gt; element, and give it a unique ID.
- In the response text, ensure that all line breaks are converted into &lt;br&gt; tags to adhere to the formatting rules.
- Concatenate the CSS and HTML content into a single string without any new lines, except for the ones explicitly created by &lt;br&gt; tags within the HTML content.

6. Ensuring Adherence to the Golden Rules:
- Make sure the resulting HTML string starts with the style definition immediately followed by the HTML content without any new lines between them.
- Verify that no extra new lines are introduced in the output.
- Follow a consistent ID naming strategy for the HTML container and its contents, incrementing the ID numbers with each new message to maintain uniqueness.

By following these steps, the resulting implementation will generate responses that are styled in a way that visually conveys the emotional tone detected in the input while strictly adhering to the formatting requirements outlined in the five golden rules. The process encapsulates the essence of the SAENG concept, creating an interaction that is not just textually but also visually responsive to the user’s emotional state.