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:
Aranzubía se plantea la experiencia de Sydney como "algo que pocos deportistas tienen la oportunidad de vivir, porque representas a tu país y además convives con personas de otros lugares", aunque reconoce que el interés por los Juegos Olímpicos "es mayor porque vamos allí con opciones de ganar medalla".
Postion	Tokenization
1	Aranzubía
2	se
3	plantea
4	la
5	experiencia
6	de
7	Sydney
8	como
9	"
10	algo
11	que
12	pocos
13	deportistas
14	tienen
15	la
16	oportunidad
17	de
18	vivir
19	,
20	porque
21	representas
22	a
23	tu
24	país
25	y
26	además
27	convives
28	con
29	personas
30	de
31	otros
32	lugares
33	"
34	,
35	aunque
36	reconoce
37	que
38	el
39	interés
40	por
41	los
42	Juegos
43	Olímpicos
44	"
45	es
46	mayor
47	porque
48	vamos
49	allí
50	con
51	opciones
52	de
53	ganar
54	medalla
55	"
56	.
Position	Tokenization	UPOS	Head	Deprel
1	Aranzubía	PROPN	3	nsubj
2	se	PRON	3	iobj
3	plantea	VERB	0	root
4	la	DET	5	det
5	experiencia	NOUN	3	obj
6	de	ADP	7	case
7	Sydney	PROPN	5	nmod
8	como	SCONJ	10	mark
9	"	PUNCT	10	punct
10	algo	PRON	3	obj
11	que	SCONJ	14	mark
12	pocos	DET	13	det
13	deportistas	NOUN	14	nsubj
14	tienen	VERB	10	acl
15	la	DET	16	det
16	oportunidad	NOUN	14	obj
17	de	ADP	18	mark
18	vivir	VERB	16	acl
19	,	PUNCT	21	punct
20	porque	SCONJ	21	mark
21	representas	VERB	14	advcl
22	a	ADP	24	case
23	tu	DET	24	det
24	país	NOUN	21	obj
25	y	CCONJ	27	cc
26	además	ADV	27	advmod
27	convives	VERB	21	conj
28	con	ADP	29	case
29	personas	NOUN	27	obl
30	de	ADP	32	case
31	otros	DET	32	det
32	lugares	NOUN	29	nmod
33	"	PUNCT	10	punct
34	,	PUNCT	36	punct
35	aunque	SCONJ	36	mark
36	reconoce	VERB	3	advcl
37	que	SCONJ	46	mark
38	el	DET	39	det
39	interés	NOUN	46	nsubj
40	por	ADP	42	case
41	los	DET	42	det
42	Juegos	PROPN	39	nmod
43	Olímpicos	PROPN	42	flat
44	"	PUNCT	46	punct
45	es	AUX	46	cop
46	mayor	ADJ	36	ccomp
47	porque	SCONJ	48	mark
48	vamos	VERB	46	advcl
49	allí	ADV	48	advmod
50	con	ADP	51	case
51	opciones	NOUN	48	obl
52	de	ADP	53	mark
53	ganar	VERB	51	acl
54	medalla	NOUN	53	obj
55	"	PUNCT	46	punct
56	.	PUNCT	3	punct