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 estadounidense Andre Agassi se alejó de la competición activa, pero sigue más involucrado que nunca en su campaña de recaudación de fondos para su organización benéfica de ayuda a los niños con la que también quiere ser un auténtico campeón.
Postion	Tokenization
1	El
2	tenista
3	estadounidense
4	Andre
5	Agassi
6	se
7	alejó
8	de
9	la
10	competición
11	activa
12	,
13	pero
14	sigue
15	más
16	involucrado
17	que
18	nunca
19	en
20	su
21	campaña
22	de
23	recaudación
24	de
25	fondos
26	para
27	su
28	organización
29	benéfica
30	de
31	ayuda
32	a
33	los
34	niños
35	con
36	la
37	que
38	también
39	quiere
40	ser
41	un
42	auténtico
43	campeón
44	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tenista	NOUN	7	nsubj
3	estadounidense	ADJ	2	amod
4	Andre	PROPN	2	appos
5	Agassi	PROPN	4	flat
6	se	PRON	7	obj
7	alejó	VERB	0	root
8	de	ADP	10	case
9	la	DET	10	det
10	competición	NOUN	7	obl
11	activa	ADJ	10	amod
12	,	PUNCT	14	punct
13	pero	CCONJ	14	cc
14	sigue	VERB	7	conj
15	más	ADV	16	advmod
16	involucrado	ADJ	14	obj
17	que	SCONJ	18	mark
18	nunca	ADV	16	advmod
19	en	ADP	21	case
20	su	DET	21	det
21	campaña	NOUN	14	obj
22	de	ADP	23	case
23	recaudación	NOUN	21	nmod
24	de	ADP	25	case
25	fondos	NOUN	23	nmod
26	para	ADP	28	case
27	su	DET	28	det
28	organización	NOUN	23	nmod
29	benéfica	ADJ	28	amod
30	de	ADP	31	case
31	ayuda	NOUN	28	nmod
32	a	ADP	34	case
33	los	DET	34	det
34	niños	NOUN	31	nmod
35	con	ADP	37	case
36	la	DET	37	det
37	que	PRON	39	obl
38	también	ADV	39	advmod
39	quiere	VERB	28	acl
40	ser	AUX	43	cop
41	un	DET	43	det
42	auténtico	ADJ	43	amod
43	campeón	NOUN	39	xcomp
44	.	PUNCT	7	punct