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 le dije: lo veo tan difícil, que si gano una medalla le doy un pico en la boca (a Albert) ", comentó Corretja entre risas.
Postion	Tokenization
1	Y
2	le
3	dije
4	:
5	lo
6	veo
7	tan
8	difícil
9	,
10	que
11	si
12	gano
13	una
14	medalla
15	le
16	doy
17	un
18	pico
19	en
20	la
21	boca
22	(
23	a
24	Albert
25	)
26	"
27	,
28	comentó
29	Corretja
30	entre
31	risas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	3	advmod
2	le	PRON	3	iobj
3	dije	VERB	28	ccomp
4	:	PUNCT	6	punct
5	lo	PRON	6	obj
6	veo	VERB	3	ccomp
7	tan	ADV	8	advmod
8	difícil	ADJ	6	iobj
9	,	PUNCT	16	punct
10	que	SCONJ	16	mark
11	si	SCONJ	12	mark
12	gano	VERB	16	advcl
13	una	DET	14	det
14	medalla	NOUN	12	obj
15	le	PRON	16	obj
16	doy	VERB	8	advcl
17	un	DET	18	det
18	pico	NOUN	16	obj
19	en	ADP	21	case
20	la	DET	21	det
21	boca	NOUN	16	obl
22	(	PUNCT	24	punct
23	a	ADP	24	case
24	Albert	PROPN	16	obj
25	)	PUNCT	24	punct
26	"	PUNCT	3	punct
27	,	PUNCT	3	punct
28	comentó	VERB	0	root
29	Corretja	PROPN	28	nsubj
30	entre	ADP	31	case
31	risas	NOUN	28	obl
32	.	PUNCT	28	punct