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:
El ex tenista brasileño aseguró que Guga se viene preparando desde hace cinco años para vencer en pistas diferentes a las de tierra batida y que, por esa razón, "seguramente ya se trazó nuevos objetivos y entre ellos la posibilidad de conquistar el próximo año los grandes torneos de cuadra rápida, como el abierto de EEUU o el de Australia".
Postion	Tokenization
1	El
2	ex
3	tenista
4	brasileño
5	aseguró
6	que
7	Guga
8	se
9	viene
10	preparando
11	desde
12	hace
13	cinco
14	años
15	para
16	vencer
17	en
18	pistas
19	diferentes
20	a
21	las
22	de
23	tierra
24	batida
25	y
26	que
27	,
28	por
29	esa
30	razón
31	,
32	"
33	seguramente
34	ya
35	se
36	trazó
37	nuevos
38	objetivos
39	y
40	entre
41	ellos
42	la
43	posibilidad
44	de
45	conquistar
46	el
47	próximo
48	año
49	los
50	grandes
51	torneos
52	de
53	cuadra
54	rápida
55	,
56	como
57	el
58	abierto
59	de
60	EEUU
61	o
62	el
63	de
64	Australia
65	"
66	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	ex	ADJ	3	amod
3	tenista	NOUN	5	nsubj
4	brasileño	ADJ	3	amod
5	aseguró	VERB	0	root
6	que	SCONJ	9	mark
7	Guga	PROPN	9	nsubj
8	se	PRON	9	obj
9	viene	VERB	5	ccomp
10	preparando	VERB	9	xcomp
11	desde	ADP	12	mark
12	hace	VERB	10	advcl
13	cinco	NUM	14	nummod
14	años	NOUN	12	obj
15	para	ADP	16	mark
16	vencer	VERB	10	advcl
17	en	ADP	18	case
18	pistas	NOUN	16	obl
19	diferentes	ADJ	18	amod
20	a	ADP	21	case
21	las	DET	19	det
22	de	ADP	21	case
23	tierra	NOUN	21	nmod
24	batida	ADJ	23	amod
25	y	CCONJ	36	cc
26	que	SCONJ	36	mark
27	,	PUNCT	30	punct
28	por	ADP	30	case
29	esa	DET	30	det
30	razón	NOUN	36	obl
31	,	PUNCT	30	punct
32	"	PUNCT	36	punct
33	seguramente	ADV	36	advmod
34	ya	ADV	36	advmod
35	se	PRON	36	iobj
36	trazó	VERB	10	conj
37	nuevos	ADJ	38	amod
38	objetivos	NOUN	36	obj
39	y	CCONJ	43	cc
40	entre	ADP	41	case
41	ellos	PRON	43	nmod
42	la	DET	43	det
43	posibilidad	NOUN	36	conj
44	de	ADP	45	mark
45	conquistar	VERB	43	acl
46	el	DET	48	det
47	próximo	ADJ	48	amod
48	año	NOUN	45	obl
49	los	DET	51	det
50	grandes	ADJ	51	amod
51	torneos	NOUN	45	obj
52	de	ADP	53	case
53	cuadra	NOUN	51	nmod
54	rápida	ADJ	53	amod
55	,	PUNCT	58	punct
56	como	SCONJ	58	mark
57	el	DET	58	det
58	abierto	NOUN	51	nmod
59	de	ADP	60	case
60	EEUU	PROPN	58	nmod
61	o	CCONJ	62	cc
62	el	DET	58	conj
63	de	ADP	62	case
64	Australia	PROPN	62	nmod
65	"	PUNCT	36	punct
66	.	PUNCT	5	punct