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:
Squillari tendrá enfrente en cuartos de final al ganador del partido entre el español Albert Costa y el australiano Lleyton Hewitt, número seis del mundo, y el jugador que más títulos ha ganado este año (3).
Postion	Tokenization
1	Squillari
2	tendrá
3	enfrente
4	en
5	cuartos
6	de
7	final
8	al
9	ganador
10	del
11	partido
12	entre
13	el
14	español
15	Albert
16	Costa
17	y
18	el
19	australiano
20	Lleyton
21	Hewitt
22	,
23	número
24	seis
25	del
26	mundo
27	,
28	y
29	el
30	jugador
31	que
32	más
33	títulos
34	ha
35	ganado
36	este
37	año
38	(
39	3
40	)
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Squillari	PROPN	2	nsubj
2	tendrá	VERB	0	root
3	enfrente	ADV	2	advmod
4	en	ADP	5	case
5	cuartos	NOUN	2	obl
6	de	ADP	7	case
7	final	NOUN	5	nmod
8	al	ADP	9	case
9	ganador	NOUN	2	obj
10	del	ADP	11	case
11	partido	NOUN	9	nmod
12	entre	ADP	14	case
13	el	DET	14	det
14	español	NOUN	11	nmod
15	Albert	PROPN	14	appos
16	Costa	PROPN	15	flat
17	y	CCONJ	19	cc
18	el	DET	19	det
19	australiano	NOUN	14	conj
20	Lleyton	PROPN	19	appos
21	Hewitt	PROPN	20	flat
22	,	PUNCT	23	punct
23	número	NOUN	19	appos
24	seis	NUM	23	appos
25	del	ADP	26	case
26	mundo	NOUN	23	nmod
27	,	PUNCT	30	punct
28	y	CCONJ	30	cc
29	el	DET	30	det
30	jugador	NOUN	23	conj
31	que	PRON	35	nsubj
32	más	ADV	33	advmod
33	títulos	NOUN	35	obj
34	ha	AUX	35	aux
35	ganado	VERB	30	acl
36	este	DET	37	det
37	año	NOUN	35	obl
38	(	PUNCT	39	punct
39	3	NUM	35	obj
40	)	PUNCT	39	punct
41	.	PUNCT	2	punct