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:
Saleta empezó su carrera como especialista en el kick-boxing, disciplina en la que consiguió el campeonato del mundo y de Europa en las modalidades de aficionados y profesionales de profesionales y en la que se apuntó 30 victorias y solo una derrota.
Postion	Tokenization
1	Saleta
2	empezó
3	su
4	carrera
5	como
6	especialista
7	en
8	el
9	kick-boxing
10	,
11	disciplina
12	en
13	la
14	que
15	consiguió
16	el
17	campeonato
18	del
19	mundo
20	y
21	de
22	Europa
23	en
24	las
25	modalidades
26	de
27	aficionados
28	y
29	profesionales
30	de
31	profesionales
32	y
33	en
34	la
35	que
36	se
37	apuntó
38	30
39	victorias
40	y
41	solo
42	una
43	derrota
44	.
Position	Tokenization	UPOS	Head	Deprel
1	Saleta	PROPN	2	nsubj
2	empezó	VERB	0	root
3	su	DET	4	det
4	carrera	NOUN	2	obj
5	como	SCONJ	6	mark
6	especialista	NOUN	4	nmod
7	en	ADP	9	case
8	el	DET	9	det
9	kick-boxing	NOUN	6	nmod
10	,	PUNCT	11	punct
11	disciplina	NOUN	9	appos
12	en	ADP	14	case
13	la	DET	14	det
14	que	PRON	15	obl
15	consiguió	VERB	11	acl
16	el	DET	17	det
17	campeonato	NOUN	15	obj
18	del	ADP	19	case
19	mundo	NOUN	17	nmod
20	y	CCONJ	22	cc
21	de	ADP	22	case
22	Europa	PROPN	19	conj
23	en	ADP	25	case
24	las	DET	25	det
25	modalidades	NOUN	17	nmod
26	de	ADP	27	case
27	aficionados	ADJ	25	amod
28	y	CCONJ	29	cc
29	profesionales	ADJ	27	conj
30	de	ADP	31	case
31	profesionales	ADJ	29	amod
32	y	CCONJ	37	cc
33	en	ADP	35	case
34	la	DET	35	det
35	que	PRON	37	obl
36	se	PRON	37	expl:pv
37	apuntó	VERB	15	conj
38	30	NUM	39	nummod
39	victorias	NOUN	37	obj
40	y	CCONJ	43	cc
41	solo	ADJ	43	advmod
42	una	DET	43	det
43	derrota	NOUN	39	conj
44	.	PUNCT	2	punct