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:
De acuerdo con el ex tenista brasileño, Kuerten ya demostró que no es sólo un campeón en tierra batida, que eran su especialidad, sino que también puede triunfar en pistas cubiertas, duras y rápidas.
Postion	Tokenization
1	De
2	acuerdo
3	con
4	el
5	ex
6	tenista
7	brasileño
8	,
9	Kuerten
10	ya
11	demostró
12	que
13	no
14	es
15	sólo
16	un
17	campeón
18	en
19	tierra
20	batida
21	,
22	que
23	eran
24	su
25	especialidad
26	,
27	sino
28	que
29	también
30	puede
31	triunfar
32	en
33	pistas
34	cubiertas
35	,
36	duras
37	y
38	rápidas
39	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	6	case
2	acuerdo	NOUN	1	fixed
3	con	ADP	1	fixed
4	el	DET	6	det
5	ex	ADJ	6	amod
6	tenista	NOUN	11	obl
7	brasileño	ADJ	6	amod
8	,	PUNCT	6	punct
9	Kuerten	PROPN	11	nsubj
10	ya	ADV	11	advmod
11	demostró	VERB	27	parataxis
12	que	SCONJ	17	mark
13	no	ADV	17	advmod
14	es	AUX	17	cop
15	sólo	ADV	17	advmod
16	un	DET	17	det
17	campeón	NOUN	11	ccomp
18	en	ADP	19	case
19	tierra	NOUN	17	nmod
20	batida	ADJ	19	amod
21	,	PUNCT	25	punct
22	que	PRON	25	nsubj
23	eran	AUX	25	cop
24	su	DET	25	det
25	especialidad	NOUN	19	acl
26	,	PUNCT	25	punct
27	sino	CCONJ	0	root
28	que	SCONJ	27	fixed
29	también	ADV	31	advmod
30	puede	AUX	31	aux
31	triunfar	VERB	27	parataxis
32	en	ADP	33	case
33	pistas	NOUN	31	obl
34	cubiertas	ADJ	33	amod
35	,	PUNCT	36	punct
36	duras	ADJ	34	amod
37	y	CCONJ	38	cc
38	rápidas	ADJ	34	conj
39	.	PUNCT	27	punct