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, de 30 años, volvió a mostrar el lado positivo de su personalidad al reiterar que en su vida existen ya unas prioridades muy definidas y el ayudar a los niños ocupa el primer lugar.
Postion	Tokenization
1	Agassi
2	,
3	de
4	30
5	años
6	,
7	volvió
8	a
9	mostrar
10	el
11	lado
12	positivo
13	de
14	su
15	personalidad
16	al
17	reiterar
18	que
19	en
20	su
21	vida
22	existen
23	ya
24	unas
25	prioridades
26	muy
27	definidas
28	y
29	el
30	ayudar
31	a
32	los
33	niños
34	ocupa
35	el
36	primer
37	lugar
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Agassi	PROPN	7	nsubj
2	,	PUNCT	5	punct
3	de	ADP	5	case
4	30	NUM	5	nummod
5	años	NOUN	1	nmod
6	,	PUNCT	5	punct
7	volvió	VERB	0	root
8	a	ADP	9	mark
9	mostrar	VERB	7	xcomp
10	el	DET	11	det
11	lado	NOUN	7	obj
12	positivo	ADJ	11	amod
13	de	ADP	15	case
14	su	DET	15	det
15	personalidad	NOUN	11	nmod
16	al	ADP	17	mark
17	reiterar	VERB	9	advcl
18	que	SCONJ	22	mark
19	en	ADP	21	case
20	su	DET	21	det
21	vida	NOUN	22	obl
22	existen	VERB	17	ccomp
23	ya	ADV	22	advmod
24	unas	DET	25	det
25	prioridades	NOUN	22	nsubj
26	muy	ADV	27	advmod
27	definidas	ADJ	25	amod
28	y	CCONJ	34	cc
29	el	DET	30	det
30	ayudar	VERB	34	csubj
31	a	ADP	33	case
32	los	DET	33	det
33	niños	NOUN	30	obj
34	ocupa	VERB	22	conj
35	el	DET	37	det
36	primer	ADJ	37	amod
37	lugar	NOUN	34	obj
38	.	PUNCT	7	punct