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:
Gates ha sido una víctima de este tenso debate que, de acuerdo con la manga ancha con que la Administración suele medir estos temas en EEUU, lleva camino de convulsionar a una sociedad que intercambia cada día más de 25.000 millones de mensajes electrónicos, sólo en el ámbito laboral.
Postion	Tokenization
1	Gates
2	ha
3	sido
4	una
5	víctima
6	de
7	este
8	tenso
9	debate
10	que
11	,
12	de
13	acuerdo
14	con
15	la
16	manga
17	ancha
18	con
19	que
20	la
21	Administración
22	suele
23	medir
24	estos
25	temas
26	en
27	EEUU
28	,
29	lleva
30	camino
31	de
32	convulsionar
33	a
34	una
35	sociedad
36	que
37	intercambia
38	cada
39	día
40	más
41	de
42	25.000
43	millones
44	de
45	mensajes
46	electrónicos
47	,
48	sólo
49	en
50	el
51	ámbito
52	laboral
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Gates	PROPN	5	nsubj
2	ha	AUX	5	aux
3	sido	AUX	5	cop
4	una	DET	5	det
5	víctima	NOUN	0	root
6	de	ADP	9	case
7	este	DET	9	det
8	tenso	ADJ	9	amod
9	debate	NOUN	5	nmod
10	que	PRON	29	nsubj
11	,	PUNCT	16	punct
12	de	ADP	16	case
13	acuerdo	NOUN	12	fixed
14	con	ADP	12	fixed
15	la	DET	16	det
16	manga	NOUN	29	obl
17	ancha	ADJ	16	amod
18	con	ADP	19	case
19	que	PRON	22	obl
20	la	DET	21	det
21	Administración	PROPN	22	nsubj
22	suele	VERB	16	acl
23	medir	VERB	22	xcomp
24	estos	DET	25	det
25	temas	NOUN	23	obj
26	en	ADP	27	case
27	EEUU	PROPN	22	obl
28	,	PUNCT	16	punct
29	lleva	VERB	9	acl
30	camino	NOUN	29	compound
31	de	ADP	32	mark
32	convulsionar	VERB	29	xcomp
33	a	ADP	35	case
34	una	DET	35	det
35	sociedad	NOUN	32	obj
36	que	PRON	37	nsubj
37	intercambia	VERB	35	acl
38	cada	DET	39	det
39	día	NOUN	37	obl
40	más	ADV	43	advmod
41	de	ADP	40	case
42	25.000	NUM	40	nummod
43	millones	NOUN	37	obj
44	de	ADP	45	case
45	mensajes	NOUN	43	nmod
46	electrónicos	ADJ	45	amod
47	,	PUNCT	48	punct
48	sólo	ADV	37	advmod
49	en	ADP	48	case
50	el	DET	51	det
51	ámbito	NOUN	48	nmod
52	laboral	ADJ	51	amod
53	.	PUNCT	5	punct