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 campeón colombiano exhibió un mejor juego de conjunto que le sirvió para crear jugadas de peligro, con hombres como Víctor Aristizábal, Oswaldo Mackenzie y Tressor Moreno.
Postion	Tokenization
1	El
2	campeón
3	colombiano
4	exhibió
5	un
6	mejor
7	juego
8	de
9	conjunto
10	que
11	le
12	sirvió
13	para
14	crear
15	jugadas
16	de
17	peligro
18	,
19	con
20	hombres
21	como
22	Víctor
23	Aristizábal
24	,
25	Oswaldo
26	Mackenzie
27	y
28	Tressor
29	Moreno
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	campeón	NOUN	4	nsubj
3	colombiano	ADJ	2	amod
4	exhibió	VERB	0	root
5	un	DET	7	det
6	mejor	ADJ	7	amod
7	juego	NOUN	4	obj
8	de	ADP	9	case
9	conjunto	NOUN	7	nmod
10	que	PRON	12	nsubj
11	le	PRON	12	iobj
12	sirvió	VERB	7	acl
13	para	ADP	14	mark
14	crear	VERB	12	xcomp
15	jugadas	NOUN	14	obj
16	de	ADP	17	case
17	peligro	NOUN	15	nmod
18	,	PUNCT	20	punct
19	con	ADP	20	case
20	hombres	NOUN	15	nmod
21	como	SCONJ	22	mark
22	Víctor	PROPN	20	nmod
23	Aristizábal	PROPN	22	flat
24	,	PUNCT	25	punct
25	Oswaldo	PROPN	22	conj
26	Mackenzie	PROPN	25	flat
27	y	CCONJ	28	cc
28	Tressor	PROPN	22	conj
29	Moreno	PROPN	28	flat
30	.	PUNCT	4	punct