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:
Aunque los locales basaron su victoria en la fortaleza y la habilidad de sus delanteros, la actuación del defensa colombiano Mario Yepes fue vital para mantener la ventaja en el segundo tiempo.
Postion	Tokenization
1	Aunque
2	los
3	locales
4	basaron
5	su
6	victoria
7	en
8	la
9	fortaleza
10	y
11	la
12	habilidad
13	de
14	sus
15	delanteros
16	,
17	la
18	actuación
19	del
20	defensa
21	colombiano
22	Mario
23	Yepes
24	fue
25	vital
26	para
27	mantener
28	la
29	ventaja
30	en
31	el
32	segundo
33	tiempo
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	4	mark
2	los	DET	3	det
3	locales	NOUN	4	nsubj
4	basaron	VERB	25	advcl
5	su	DET	6	det
6	victoria	NOUN	4	obj
7	en	ADP	9	case
8	la	DET	9	det
9	fortaleza	NOUN	4	obj
10	y	CCONJ	12	cc
11	la	DET	12	det
12	habilidad	NOUN	9	conj
13	de	ADP	15	case
14	sus	DET	15	det
15	delanteros	NOUN	9	nmod
16	,	PUNCT	4	punct
17	la	DET	18	det
18	actuación	NOUN	25	nsubj
19	del	ADP	20	case
20	defensa	NOUN	18	nmod
21	colombiano	ADJ	20	amod
22	Mario	PROPN	20	appos
23	Yepes	PROPN	22	flat
24	fue	AUX	25	cop
25	vital	ADJ	0	root
26	para	ADP	27	mark
27	mantener	VERB	25	acl
28	la	DET	29	det
29	ventaja	NOUN	27	obj
30	en	ADP	33	case
31	el	DET	33	det
32	segundo	ADJ	33	amod
33	tiempo	NOUN	27	obl
34	.	PUNCT	25	punct