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 tenista español se clasificó para los cuartos de final del torneo que se disputa en Qatar, tras imponerse en segunda ronda al uzbeco Oleg Ogorodov en dos sets, 7-6 (7-0) y 6-2.
Postion	Tokenization
1	El
2	tenista
3	español
4	se
5	clasificó
6	para
7	los
8	cuartos
9	de
10	final
11	del
12	torneo
13	que
14	se
15	disputa
16	en
17	Qatar
18	,
19	tras
20	imponerse
21	imponer
22	se
23	en
24	segunda
25	ronda
26	al
27	uzbeco
28	Oleg
29	Ogorodov
30	en
31	dos
32	sets
33	,
34	7-6
35	(
36	7-0
37	)
38	y
39	6-2
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tenista	NOUN	5	nsubj
3	español	ADJ	2	amod
4	se	PRON	5	expl:pv
5	clasificó	VERB	0	root
6	para	ADP	8	case
7	los	DET	8	det
8	cuartos	NOUN	5	obl
9	de	ADP	10	case
10	final	NOUN	8	nmod
11	del	ADP	12	case
12	torneo	NOUN	8	nmod
13	que	PRON	15	nsubj
14	se	PRON	15	expl:pass
15	disputa	VERB	12	acl
16	en	ADP	17	case
17	Qatar	PROPN	15	obl
18	,	PUNCT	20	punct
19	tras	ADP	20	mark
20	imponerse	_	None	_
21	imponer	VERB	5	advcl
22	se	PRON	20	expl:pv
23	en	ADP	24	case
24	segunda	ADJ	24	amod
25	ronda	NOUN	20	obl
26	al	ADP	26	case
27	uzbeco	NOUN	20	obj
28	Oleg	PROPN	26	appos
29	Ogorodov	PROPN	27	flat
30	en	ADP	31	case
31	dos	NUM	31	nummod
32	sets	NOUN	20	obl
33	,	PUNCT	33	punct
34	7-6	NUM	31	appos
35	(	PUNCT	35	punct
36	7-0	NUM	33	appos
37	)	PUNCT	35	punct
38	y	CCONJ	38	cc
39	6-2	NUM	33	conj
40	.	PUNCT	5	punct