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:
Thought you'd like to know that the Dixie Chicks are coming back to Houston Dec. 12 and will performing just down the street from you at the Compaq Center...it's all about you and your needs.
Postion	Tokenization
1	Thought
2	you'd
3	you
4	'd
5	like
6	to
7	know
8	that
9	the
10	Dixie
11	Chicks
12	are
13	coming
14	back
15	to
16	Houston
17	Dec.
18	12
19	and
20	will
21	performing
22	just
23	down
24	the
25	street
26	from
27	you
28	at
29	the
30	Compaq
31	Center
32	...
33	it
34	's
35	all
36	about
37	you
38	and
39	your
40	needs
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Thought	VERB	0	root
2	you'd	_	None	_
3	you	PRON	4	nsubj
4	'd	AUX	4	aux
5	like	VERB	1	ccomp
6	to	PART	6	mark
7	know	VERB	4	xcomp
8	that	SCONJ	12	mark
9	the	DET	10	det
10	Dixie	PROPN	10	compound
11	Chicks	PROPN	12	nsubj
12	are	AUX	12	aux
13	coming	VERB	6	ccomp
14	back	ADV	12	advmod
15	to	ADP	15	case
16	Houston	PROPN	13	obl
17	Dec.	PROPN	12	obl:tmod
18	12	NUM	16	nummod
19	and	CCONJ	20	cc
20	will	AUX	20	aux
21	performing	VERB	12	conj
22	just	ADV	24	advmod
23	down	ADP	24	case
24	the	DET	24	det
25	street	NOUN	20	obl
26	from	ADP	26	case
27	you	PRON	24	nmod
28	at	ADP	30	case
29	the	DET	30	det
30	Compaq	PROPN	30	compound
31	Center	PROPN	20	obl
32	...	PUNCT	1	punct
33	it	PRON	36	nsubj
34	's	AUX	36	cop
35	all	ADV	36	advmod
36	about	ADP	36	case
37	you	PRON	1	parataxis
38	and	CCONJ	39	cc
39	your	PRON	39	nmod:poss
40	needs	NOUN	36	conj
41	.	PUNCT	1	punct