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:
- - Según Piqué, la apuesta por el centro catalanista pasa por defender un modelo de financiación que reduzca la aportación de Catalunya.
Postion	Tokenization
1	-
2	-
3	Según
4	Piqué
5	,
6	la
7	apuesta
8	por
9	el
10	centro
11	catalanista
12	pasa
13	por
14	defender
15	un
16	modelo
17	de
18	financiación
19	que
20	reduzca
21	la
22	aportación
23	de
24	Catalunya
25	.
Position	Tokenization	UPOS	Head	Deprel
1	-	PUNCT	12	punct
2	-	PUNCT	12	punct
3	Según	ADP	4	case
4	Piqué	PROPN	12	obl
5	,	PUNCT	4	punct
6	la	DET	7	det
7	apuesta	NOUN	12	nsubj
8	por	ADP	10	case
9	el	DET	10	det
10	centro	NOUN	7	nmod
11	catalanista	ADJ	10	amod
12	pasa	VERB	0	root
13	por	ADP	14	mark
14	defender	VERB	12	xcomp
15	un	DET	16	det
16	modelo	NOUN	14	obj
17	de	ADP	18	case
18	financiación	NOUN	16	nmod
19	que	PRON	20	nsubj
20	reduzca	VERB	16	acl
21	la	DET	22	det
22	aportación	NOUN	20	obj
23	de	ADP	24	case
24	Catalunya	PROPN	22	nmod
25	.	PUNCT	12	punct