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 sorteo ha deparado que los números uno de cada equipo, Rafter y Kuerten, abran el fuego en la primera jornada, mientras que Hewitt se medirá a Meligeni.
Postion	Tokenization
1	El
2	sorteo
3	ha
4	deparado
5	que
6	los
7	números
8	uno
9	de
10	cada
11	equipo
12	,
13	Rafter
14	y
15	Kuerten
16	,
17	abran
18	el
19	fuego
20	en
21	la
22	primera
23	jornada
24	,
25	mientras
26	que
27	Hewitt
28	se
29	medirá
30	a
31	Meligeni
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	sorteo	NOUN	4	nsubj
3	ha	AUX	4	aux
4	deparado	VERB	25	parataxis
5	que	SCONJ	17	mark
6	los	DET	7	det
7	números	NOUN	17	nsubj
8	uno	PRON	7	nmod
9	de	ADP	11	case
10	cada	DET	11	det
11	equipo	NOUN	7	nmod
12	,	PUNCT	13	punct
13	Rafter	PROPN	7	appos
14	y	CCONJ	15	cc
15	Kuerten	PROPN	13	conj
16	,	PUNCT	13	punct
17	abran	VERB	4	ccomp
18	el	DET	19	det
19	fuego	NOUN	17	obj
20	en	ADP	23	case
21	la	DET	23	det
22	primera	ADJ	23	amod
23	jornada	NOUN	17	obl
24	,	PUNCT	25	punct
25	mientras	CCONJ	0	root
26	que	SCONJ	25	fixed
27	Hewitt	PROPN	29	nsubj
28	se	PRON	29	expl:pv
29	medirá	VERB	25	parataxis
30	a	ADP	31	case
31	Meligeni	PROPN	29	obj
32	.	PUNCT	25	punct