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:
El combate decisivo enfrentó al vencedor con el húngaro Ivan Kovacs al que venció por 15 tocados a 5 después de eliminar al cubano Ivan Trejero, en los cuartos de final y al estonio Kaido Kaberma en semifinales.
Postion	Tokenization
1	El
2	combate
3	decisivo
4	enfrentó
5	al
6	vencedor
7	con
8	el
9	húngaro
10	Ivan
11	Kovacs
12	al
13	que
14	venció
15	por
16	15
17	tocados
18	a
19	5
20	después
21	de
22	eliminar
23	al
24	cubano
25	Ivan
26	Trejero
27	,
28	en
29	los
30	cuartos
31	de
32	final
33	y
34	al
35	estonio
36	Kaido
37	Kaberma
38	en
39	semifinales
40	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	combate	NOUN	4	nsubj
3	decisivo	ADJ	2	amod
4	enfrentó	VERB	0	root
5	al	ADP	6	case
6	vencedor	NOUN	4	obj
7	con	ADP	9	case
8	el	DET	9	det
9	húngaro	NOUN	4	obj
10	Ivan	PROPN	9	appos
11	Kovacs	PROPN	10	flat
12	al	ADP	13	case
13	que	PRON	14	obj
14	venció	VERB	9	acl
15	por	ADP	17	case
16	15	NUM	17	nummod
17	tocados	NOUN	14	obl
18	a	ADP	19	case
19	5	NUM	17	nummod
20	después	ADV	14	advmod
21	de	ADP	22	mark
22	eliminar	VERB	20	advcl
23	al	ADP	24	case
24	cubano	ADJ	22	obj
25	Ivan	PROPN	24	obj
26	Trejero	PROPN	25	flat
27	,	PUNCT	30	punct
28	en	ADP	30	case
29	los	DET	30	det
30	cuartos	NOUN	22	obl
31	de	ADP	32	case
32	final	NOUN	30	nmod
33	y	CCONJ	35	cc
34	al	ADP	35	case
35	estonio	ADJ	22	conj
36	Kaido	PROPN	35	obj
37	Kaberma	PROPN	36	flat
38	en	ADP	39	case
39	semifinales	NOUN	35	nmod
40	.	PUNCT	4	punct