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:
Dado que el déficit fiscal catalán (lo que se recauda en Catalunya menos lo que recibe) era en 1998 de 1,3 billones de pesetas, cada catalán aportó al resto de España 225.468 pesetas.
Postion	Tokenization
1	Dado
2	que
3	el
4	déficit
5	fiscal
6	catalán
7	(
8	lo
9	que
10	se
11	recauda
12	en
13	Catalunya
14	menos
15	lo
16	que
17	recibe
18	)
19	era
20	en
21	1998
22	de
23	1,3
24	billones
25	de
26	pesetas
27	,
28	cada
29	catalán
30	aportó
31	al
32	resto
33	de
34	España
35	225.468
36	pesetas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Dado	NOUN	24	mark
2	que	SCONJ	1	fixed
3	el	DET	4	det
4	déficit	NOUN	24	nsubj
5	fiscal	ADJ	4	amod
6	catalán	NOUN	4	appos
7	(	PUNCT	11	punct
8	lo	PRON	11	det
9	que	PRON	11	nsubj
10	se	PRON	11	expl:pass
11	recauda	VERB	4	appos
12	en	ADP	13	case
13	Catalunya	PROPN	11	obl
14	menos	ADV	17	advmod
15	lo	PRON	17	det
16	que	PRON	17	obj
17	recibe	VERB	11	ccomp
18	)	PUNCT	11	punct
19	era	AUX	24	cop
20	en	ADP	21	case
21	1998	NOUN	24	obl
22	de	ADP	24	case
23	1,3	NUM	24	nummod
24	billones	NOUN	30	advcl
25	de	ADP	26	case
26	pesetas	NOUN	24	nmod
27	,	PUNCT	24	punct
28	cada	DET	29	det
29	catalán	NOUN	30	nsubj
30	aportó	VERB	0	root
31	al	ADP	32	case
32	resto	NOUN	30	obj
33	de	ADP	34	case
34	España	PROPN	32	nmod
35	225.468	NUM	36	nummod
36	pesetas	NOUN	30	obj
37	.	PUNCT	30	punct