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:
De la Torre considera que la medalla de oro en Sydney estará situada a 2,38 metros del suelo, "y Javier está capacitado para saltar esa altura", dijo.
Postion	Tokenization
1	De
2	la
3	Torre
4	considera
5	que
6	la
7	medalla
8	de
9	oro
10	en
11	Sydney
12	estará
13	situada
14	a
15	2,38
16	metros
17	del
18	suelo
19	,
20	"
21	y
22	Javier
23	está
24	capacitado
25	para
26	saltar
27	esa
28	altura
29	"
30	,
31	dijo
32	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	3	case
2	la	DET	3	det
3	Torre	PROPN	4	nsubj
4	considera	VERB	0	root
5	que	SCONJ	13	mark
6	la	DET	7	det
7	medalla	NOUN	13	nsubj
8	de	ADP	9	case
9	oro	NOUN	7	nmod
10	en	ADP	11	case
11	Sydney	PROPN	13	obl
12	estará	AUX	13	cop
13	situada	ADJ	4	ccomp
14	a	ADP	16	case
15	2,38	NUM	16	nummod
16	metros	NOUN	13	obl
17	del	ADP	18	case
18	suelo	NOUN	16	nmod
19	,	PUNCT	31	punct
20	"	PUNCT	31	punct
21	y	CCONJ	31	cc
22	Javier	PROPN	24	nsubj
23	está	AUX	24	cop
24	capacitado	ADJ	31	ccomp
25	para	ADP	26	mark
26	saltar	VERB	24	advcl
27	esa	DET	28	det
28	altura	NOUN	26	obj
29	"	PUNCT	24	punct
30	,	PUNCT	31	punct
31	dijo	VERB	4	conj
32	.	PUNCT	4	punct