As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following tokenized text:
So anyone looking for an Excellent night out for Chinese or maybe just lunch should stop in and try it because I promise you 2 things---You won't regret it!!
Postion	Tokenization
1	So
2	anyone
3	looking
4	for
5	an
6	Excellent
7	night
8	out
9	for
10	Chinese
11	or
12	maybe
13	just
14	lunch
15	should
16	stop
17	in
18	and
19	try
20	it
21	because
22	I
23	promise
24	you
25	2
26	things
27	---
28	You
29	won't
30	wo
31	n't
32	regret
33	it
34	!!
Position	Tokenization	UPOS	Head	Deprel
1	So	ADV	16	advmod
2	anyone	PRON	16	nsubj
3	looking	VERB	2	acl
4	for	ADP	7	case
5	an	DET	7	det
6	Excellent	ADJ	7	amod
7	night	NOUN	3	obl
8	out	ADV	7	advmod
9	for	ADP	10	case
10	Chinese	ADJ	7	nmod
11	or	CCONJ	14	cc
12	maybe	ADV	14	advmod
13	just	ADV	14	advmod
14	lunch	NOUN	7	conj
15	should	AUX	16	aux
16	stop	VERB	0	root
17	in	ADV	16	advmod
18	and	CCONJ	19	cc
19	try	VERB	16	conj
20	it	PRON	19	obj
21	because	SCONJ	23	mark
22	I	PRON	23	nsubj
23	promise	VERB	19	advcl
24	you	PRON	23	iobj
25	2	NUM	26	nummod
26	things	NOUN	23	obj
27	---	PUNCT	16	punct
28	You	PRON	31	nsubj
29	won't	_	None	_
30	wo	AUX	31	aux
31	n't	PART	31	advmod
32	regret	VERB	16	parataxis
33	it	PRON	31	obj
34	!!	PUNCT	16	punct