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:
Lo importante en unos Juegos Olímpicos es conseguir una medalla ", dijo Costa, y aseguró que repetiría" dos mil veces "la experiencia de participar en unos Juegos.
Postion	Tokenization
1	Lo
2	importante
3	en
4	unos
5	Juegos
6	Olímpicos
7	es
8	conseguir
9	una
10	medalla
11	"
12	,
13	dijo
14	Costa
15	,
16	y
17	aseguró
18	que
19	repetiría
20	"
21	dos
22	mil
23	veces
24	"
25	la
26	experiencia
27	de
28	participar
29	en
30	unos
31	Juegos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	2	det
2	importante	ADJ	7	nsubj
3	en	ADP	5	case
4	unos	DET	5	det
5	Juegos	NOUN	2	nmod
6	Olímpicos	NOUN	5	compound
7	es	AUX	13	ccomp
8	conseguir	VERB	7	ccomp
9	una	DET	10	det
10	medalla	NOUN	8	obj
11	"	PUNCT	7	punct
12	,	PUNCT	7	punct
13	dijo	VERB	0	root
14	Costa	PROPN	13	nsubj
15	,	PUNCT	17	punct
16	y	CCONJ	17	cc
17	aseguró	VERB	13	conj
18	que	SCONJ	19	mark
19	repetiría	VERB	17	ccomp
20	"	PUNCT	23	punct
21	dos	NUM	23	nmod
22	mil	NUM	21	compound
23	veces	NOUN	19	obl
24	"	PUNCT	23	punct
25	la	DET	26	det
26	experiencia	NOUN	19	obj
27	de	ADP	28	mark
28	participar	VERB	26	acl
29	en	ADP	31	case
30	unos	DET	31	det
31	Juegos	PROPN	28	obj
32	.	PUNCT	13	punct