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, que no ha tenido su mejor año deportivo ni en el capítulo personal, estuvo en Houston para participar en varios partidos de exhibición junto a otros famosos del deporte como Clyde Drexler y Charles Barkley, que le permitieron incrementar los fondos de su organización benéfica "Andre Agassi Charitable Foundation", dedicada a ayudar a los niños más necesitados.
Postion	Tokenization
1	Agassi
2	,
3	que
4	no
5	ha
6	tenido
7	su
8	mejor
9	año
10	deportivo
11	ni
12	en
13	el
14	capítulo
15	personal
16	,
17	estuvo
18	en
19	Houston
20	para
21	participar
22	en
23	varios
24	partidos
25	de
26	exhibición
27	junto
28	a
29	otros
30	famosos
31	del
32	deporte
33	como
34	Clyde
35	Drexler
36	y
37	Charles
38	Barkley
39	,
40	que
41	le
42	permitieron
43	incrementar
44	los
45	fondos
46	de
47	su
48	organización
49	benéfica
50	"
51	Andre
52	Agassi
53	Charitable
54	Foundation
55	"
56	,
57	dedicada
58	a
59	ayudar
60	a
61	los
62	niños
63	más
64	necesitados
65	.
Position	Tokenization	UPOS	Head	Deprel
1	Agassi	PROPN	17	nsubj
2	,	PUNCT	6	punct
3	que	PRON	6	nsubj
4	no	ADV	6	advmod
5	ha	AUX	6	aux
6	tenido	VERB	1	acl
7	su	DET	9	det
8	mejor	ADJ	9	amod
9	año	NOUN	6	obj
10	deportivo	ADJ	9	amod
11	ni	ADV	6	advmod
12	en	ADP	11	case
13	el	DET	14	det
14	capítulo	NOUN	11	nmod
15	personal	ADJ	14	amod
16	,	PUNCT	6	punct
17	estuvo	VERB	0	root
18	en	ADP	19	case
19	Houston	PROPN	17	obl
20	para	ADP	21	mark
21	participar	VERB	17	advcl
22	en	ADP	24	case
23	varios	DET	24	det
24	partidos	NOUN	21	iobj
25	de	ADP	26	case
26	exhibición	NOUN	24	nmod
27	junto	ADJ	30	case
28	a	ADP	27	fixed
29	otros	DET	30	det
30	famosos	ADJ	21	obl
31	del	ADP	32	case
32	deporte	NOUN	30	nmod
33	como	SCONJ	34	mark
34	Clyde	PROPN	30	nmod
35	Drexler	PROPN	34	flat
36	y	CCONJ	37	cc
37	Charles	PROPN	34	conj
38	Barkley	PROPN	37	flat
39	,	PUNCT	42	punct
40	que	PRON	42	nsubj
41	le	PRON	42	iobj
42	permitieron	VERB	24	acl
43	incrementar	VERB	42	xcomp
44	los	DET	45	det
45	fondos	NOUN	43	obj
46	de	ADP	48	case
47	su	DET	48	det
48	organización	NOUN	45	nmod
49	benéfica	ADJ	48	amod
50	"	PUNCT	51	punct
51	Andre	PROPN	48	appos
52	Agassi	PROPN	51	flat
53	Charitable	PROPN	51	flat
54	Foundation	PROPN	51	flat
55	"	PUNCT	51	punct
56	,	PUNCT	57	punct
57	dedicada	ADJ	48	amod
58	a	ADP	59	mark
59	ayudar	VERB	57	xcomp
60	a	ADP	62	case
61	los	DET	62	det
62	niños	NOUN	59	obj
63	más	ADV	64	advmod
64	necesitados	ADJ	62	amod
65	.	PUNCT	17	punct