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:
Clinton será el primero en llegar, puesto que además de participar en la cumbre, celebrará varias reuniones bilaterales, entre ellas con el canciller, Gerhard Schroeder y su antecesor, Helmut Kohl.
Postion	Tokenization
1	Clinton
2	será
3	el
4	primero
5	en
6	llegar
7	,
8	puesto
9	que
10	además
11	de
12	participar
13	en
14	la
15	cumbre
16	,
17	celebrará
18	varias
19	reuniones
20	bilaterales
21	,
22	entre
23	ellas
24	con
25	el
26	canciller
27	,
28	Gerhard
29	Schroeder
30	y
31	su
32	antecesor
33	,
34	Helmut
35	Kohl
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Clinton	PROPN	4	nsubj
2	será	AUX	4	cop
3	el	DET	4	det
4	primero	ADJ	0	root
5	en	ADP	6	mark
6	llegar	VERB	4	acl
7	,	PUNCT	17	punct
8	puesto	NOUN	17	mark
9	que	SCONJ	8	fixed
10	además	ADV	12	mark
11	de	ADP	10	fixed
12	participar	VERB	17	advcl
13	en	ADP	15	case
14	la	DET	15	det
15	cumbre	NOUN	12	obl
16	,	PUNCT	12	punct
17	celebrará	VERB	4	advcl
18	varias	DET	19	det
19	reuniones	NOUN	17	obj
20	bilaterales	ADJ	19	amod
21	,	PUNCT	23	punct
22	entre	ADP	23	case
23	ellas	PRON	19	nmod
24	con	ADP	26	case
25	el	DET	26	det
26	canciller	NOUN	23	nmod
27	,	PUNCT	28	punct
28	Gerhard	PROPN	26	appos
29	Schroeder	PROPN	28	flat
30	y	CCONJ	32	cc
31	su	DET	32	det
32	antecesor	NOUN	26	conj
33	,	PUNCT	34	punct
34	Helmut	PROPN	32	appos
35	Kohl	PROPN	34	flat
36	.	PUNCT	4	punct