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:
Aquella victoria le sirvió, no obstante, para ganar confianza con miras a los Juegos Olímpicos, según dijo el propio atleta, que después sólo ha llegado a saltar 2,30 metros.
Postion	Tokenization
1	Aquella
2	victoria
3	le
4	sirvió
5	,
6	no
7	obstante
8	,
9	para
10	ganar
11	confianza
12	con
13	miras
14	a
15	los
16	Juegos
17	Olímpicos
18	,
19	según
20	dijo
21	el
22	propio
23	atleta
24	,
25	que
26	después
27	sólo
28	ha
29	llegado
30	a
31	saltar
32	2,30
33	metros
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Aquella	DET	2	det
2	victoria	NOUN	4	nsubj
3	le	PRON	4	iobj
4	sirvió	VERB	0	root
5	,	PUNCT	6	punct
6	no	PART	4	advmod
7	obstante	NOUN	6	fixed
8	,	PUNCT	6	punct
9	para	ADP	10	mark
10	ganar	VERB	4	xcomp
11	confianza	NOUN	10	obj
12	con	ADP	16	case
13	miras	NOUN	12	fixed
14	a	ADP	12	fixed
15	los	DET	16	det
16	Juegos	PROPN	10	obl
17	Olímpicos	PROPN	16	flat
18	,	PUNCT	20	punct
19	según	SCONJ	20	mark
20	dijo	VERB	4	advcl
21	el	DET	23	det
22	propio	ADJ	23	amod
23	atleta	NOUN	20	nsubj
24	,	PUNCT	29	punct
25	que	PRON	29	nsubj
26	después	ADV	29	advmod
27	sólo	ADV	29	advmod
28	ha	AUX	29	aux
29	llegado	VERB	23	acl
30	a	ADP	31	mark
31	saltar	VERB	29	xcomp
32	2,30	NUM	33	nummod
33	metros	NOUN	31	obj
34	.	PUNCT	4	punct