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:
Y tenemos que ser sinceros, es la medalla mas difícil a la que podíamos aspirar en Sydney, en cualquier deporte ", destacó Corretja.
Postion	Tokenization
1	Y
2	tenemos
3	que
4	ser
5	sinceros
6	,
7	es
8	la
9	medalla
10	mas
11	difícil
12	a
13	la
14	que
15	podíamos
16	aspirar
17	en
18	Sydney
19	,
20	en
21	cualquier
22	deporte
23	"
24	,
25	destacó
26	Corretja
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	5	advmod
2	tenemos	VERB	25	ccomp
3	que	SCONJ	5	cc
4	ser	AUX	5	cop
5	sinceros	ADJ	2	conj
6	,	PUNCT	9	punct
7	es	AUX	9	cop
8	la	DET	9	det
9	medalla	NOUN	5	advcl
10	mas	ADV	11	advmod
11	difícil	ADJ	9	amod
12	a	ADP	14	case
13	la	DET	14	det
14	que	PRON	16	obj
15	podíamos	AUX	16	aux
16	aspirar	VERB	9	acl
17	en	ADP	18	case
18	Sydney	PROPN	16	obl
19	,	PUNCT	22	punct
20	en	ADP	22	case
21	cualquier	DET	22	det
22	deporte	NOUN	16	obl
23	"	PUNCT	2	punct
24	,	PUNCT	2	punct
25	destacó	VERB	0	root
26	Corretja	PROPN	25	nsubj
27	.	PUNCT	25	punct