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:
"Estoy convencido que igual que gané tres títulos de cuatro Grand Slam me pude quedar sin ninguno porque la verdad es que fue un año un tanto absurdo y de suerte", reconoció Agassi.
Postion	Tokenization
1	"
2	Estoy
3	convencido
4	que
5	igual
6	que
7	gané
8	tres
9	títulos
10	de
11	cuatro
12	Grand
13	Slam
14	me
15	pude
16	quedar
17	sin
18	ninguno
19	porque
20	la
21	verdad
22	es
23	que
24	fue
25	un
26	año
27	un
28	tanto
29	absurdo
30	y
31	de
32	suerte
33	"
34	,
35	reconoció
36	Agassi
37	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Estoy	VERB	35	ccomp
3	convencido	ADJ	7	xcomp
4	que	SCONJ	5	cc
5	igual	ADJ	3	conj
6	que	SCONJ	5	fixed
7	gané	VERB	2	ccomp
8	tres	NUM	9	nummod
9	títulos	NOUN	7	obj
10	de	ADP	12	case
11	cuatro	NUM	12	nummod
12	Grand	PROPN	9	nmod
13	Slam	PROPN	12	flat
14	me	PRON	15	expl:pv
15	pude	VERB	3	advcl
16	quedar	VERB	15	xcomp
17	sin	ADP	18	case
18	ninguno	PRON	16	obl
19	porque	SCONJ	22	mark
20	la	DET	21	det
21	verdad	NOUN	22	nsubj
22	es	AUX	15	advcl
23	que	SCONJ	26	mark
24	fue	AUX	26	cop
25	un	DET	26	det
26	año	NOUN	22	ccomp
27	un	DET	29	advmod
28	tanto	NOUN	27	fixed
29	absurdo	ADJ	26	amod
30	y	CCONJ	32	cc
31	de	ADP	32	case
32	suerte	NOUN	29	conj
33	"	PUNCT	2	punct
34	,	PUNCT	2	punct
35	reconoció	VERB	0	root
36	Agassi	PROPN	35	nsubj
37	.	PUNCT	35	punct