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:
Gómez-Angulo aprovechó la entrevista de TV para pedir "perdón" al ciclista Joan Llaneras, medalla de oro en Sydney, por la indefensión que sufrió por el error en un control antidopaje en otoño.
Postion	Tokenization
1	Gómez-Angulo
2	aprovechó
3	la
4	entrevista
5	de
6	TV
7	para
8	pedir
9	"
10	perdón
11	"
12	al
13	ciclista
14	Joan
15	Llaneras
16	,
17	medalla
18	de
19	oro
20	en
21	Sydney
22	,
23	por
24	la
25	indefensión
26	que
27	sufrió
28	por
29	el
30	error
31	en
32	un
33	control
34	antidopaje
35	en
36	otoño
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Gómez-Angulo	PROPN	2	nsubj
2	aprovechó	VERB	0	root
3	la	DET	4	det
4	entrevista	NOUN	2	obj
5	de	ADP	6	case
6	TV	PROPN	4	nmod
7	para	ADP	8	mark
8	pedir	VERB	2	advcl
9	"	PUNCT	10	punct
10	perdón	NOUN	8	obj
11	"	PUNCT	10	punct
12	al	ADP	13	case
13	ciclista	NOUN	8	obj
14	Joan	PROPN	13	appos
15	Llaneras	PROPN	14	flat
16	,	PUNCT	17	punct
17	medalla	NOUN	13	appos
18	de	ADP	19	case
19	oro	NOUN	17	nmod
20	en	ADP	21	case
21	Sydney	PROPN	17	nmod
22	,	PUNCT	17	punct
23	por	ADP	25	case
24	la	DET	25	det
25	indefensión	NOUN	8	obl
26	que	PRON	27	obj
27	sufrió	VERB	25	acl
28	por	ADP	30	case
29	el	DET	30	det
30	error	NOUN	27	obl
31	en	ADP	33	case
32	un	DET	33	det
33	control	NOUN	30	nmod
34	antidopaje	ADJ	33	amod
35	en	ADP	36	case
36	otoño	NOUN	33	nmod
37	.	PUNCT	2	punct