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:
Después de ganarle la Supercopa al Barça debiera saber cómo jugar con los blaugranas, tal vez perdiendo, pero no por goleada.
Postion	Tokenization
1	Después
2	de
3	ganarle
4	ganar
5	le
6	la
7	Supercopa
8	al
9	Barça
10	debiera
11	saber
12	cómo
13	jugar
14	con
15	los
16	blaugranas
17	,
18	tal
19	vez
20	perdiendo
21	,
22	pero
23	no
24	por
25	goleada
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Después	ADV	3	mark
2	de	ADP	1	fixed
3	ganarle	_	None	_
4	ganar	VERB	10	advcl
5	le	PRON	3	obj
6	la	DET	6	det
7	Supercopa	PROPN	3	obj
8	al	ADP	8	case
9	Barça	PROPN	3	obj
10	debiera	AUX	10	aux
11	saber	VERB	0	root
12	cómo	PRON	12	obl
13	jugar	VERB	10	ccomp
14	con	ADP	15	case
15	los	DET	15	det
16	blaugranas	NOUN	12	obl
17	,	PUNCT	12	punct
18	tal	NOUN	12	advmod
19	vez	NOUN	17	fixed
20	perdiendo	VERB	12	xcomp
21	,	PUNCT	22	punct
22	pero	CCONJ	22	cc
23	no	ADV	19	conj
24	por	ADP	22	case
25	goleada	NOUN	22	obj
26	.	PUNCT	10	punct