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:
"Tal vez la gran diferencia de mi actitud con el resto de las personalidades y celebridades es que no sólo hablo de la necesidad de ayudar a los niños sino que lo pongo en práctica en la búsqueda de ingresos para darla", explicó Agassi.
Postion	Tokenization
1	"
2	Tal
3	vez
4	la
5	gran
6	diferencia
7	de
8	mi
9	actitud
10	con
11	el
12	resto
13	de
14	las
15	personalidades
16	y
17	celebridades
18	es
19	que
20	no
21	sólo
22	hablo
23	de
24	la
25	necesidad
26	de
27	ayudar
28	a
29	los
30	niños
31	sino
32	que
33	lo
34	pongo
35	en
36	práctica
37	en
38	la
39	búsqueda
40	de
41	ingresos
42	para
43	darla
44	dar
45	la
46	"
47	,
48	explicó
49	Agassi
50	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	18	punct
2	Tal	NOUN	18	advmod
3	vez	NOUN	2	fixed
4	la	DET	6	det
5	gran	ADJ	6	amod
6	diferencia	NOUN	18	nsubj
7	de	ADP	9	case
8	mi	DET	9	det
9	actitud	NOUN	6	nmod
10	con	ADP	12	case
11	el	DET	12	det
12	resto	NOUN	9	nmod
13	de	ADP	15	case
14	las	DET	15	det
15	personalidades	NOUN	12	nmod
16	y	CCONJ	17	cc
17	celebridades	NOUN	15	conj
18	es	AUX	47	ccomp
19	que	SCONJ	22	mark
20	no	PART	22	advmod
21	sólo	ADV	20	fixed
22	hablo	VERB	18	ccomp
23	de	ADP	25	case
24	la	DET	25	det
25	necesidad	NOUN	22	obj
26	de	ADP	27	mark
27	ayudar	VERB	25	acl
28	a	ADP	30	case
29	los	DET	30	det
30	niños	NOUN	27	obj
31	sino	CCONJ	34	cc
32	que	SCONJ	31	fixed
33	lo	PRON	34	obj
34	pongo	VERB	22	conj
35	en	ADP	36	case
36	práctica	NOUN	34	compound
37	en	ADP	39	case
38	la	DET	39	det
39	búsqueda	NOUN	34	obl
40	de	ADP	41	case
41	ingresos	NOUN	39	nmod
42	para	ADP	43	mark
43	darla	_	None	_
44	dar	VERB	41	acl
45	la	PRON	43	obj
46	"	PUNCT	18	punct
47	,	PUNCT	18	punct
48	explicó	VERB	0	root
49	Agassi	PROPN	47	nsubj
50	.	PUNCT	47	punct