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:
Agassi se enfrentará en cuartos con uno de los dos marroquíes que han revolucionado el torneo, Hicham Arazi, que venció al francés Nicolas Escudé por 6-4, 6-3 y 7-6.
Postion	Tokenization
1	Agassi
2	se
3	enfrentará
4	en
5	cuartos
6	con
7	uno
8	de
9	los
10	dos
11	marroquíes
12	que
13	han
14	revolucionado
15	el
16	torneo
17	,
18	Hicham
19	Arazi
20	,
21	que
22	venció
23	al
24	francés
25	Nicolas
26	Escudé
27	por
28	6-4
29	,
30	6-3
31	y
32	7-6
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Agassi	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	enfrentará	VERB	0	root
4	en	ADP	5	case
5	cuartos	ADJ	3	obl
6	con	ADP	7	case
7	uno	PRON	3	obj
8	de	ADP	11	case
9	los	DET	11	det
10	dos	NUM	9	nummod
11	marroquíes	NOUN	7	nmod
12	que	PRON	14	nsubj
13	han	AUX	14	aux
14	revolucionado	VERB	11	acl
15	el	DET	16	det
16	torneo	NOUN	14	obj
17	,	PUNCT	18	punct
18	Hicham	PROPN	7	appos
19	Arazi	PROPN	18	flat
20	,	PUNCT	22	punct
21	que	PRON	22	nsubj
22	venció	VERB	18	acl
23	al	ADP	24	case
24	francés	NOUN	22	obj
25	Nicolas	PROPN	24	appos
26	Escudé	PROPN	25	flat
27	por	ADP	28	case
28	6-4	NUM	22	obl
29	,	PUNCT	30	punct
30	6-3	NUM	28	conj
31	y	CCONJ	32	cc
32	7-6	NUM	28	conj
33	.	PUNCT	3	punct