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:
Recordó que el Govern fijará una partida extra de fondos propios de, "como mínimo", 15.000 millones (90,15 millones de euros) para enjugar la carga financiera sanitaria, como hizo en 1999.
Postion	Tokenization
1	Recordó
2	que
3	el
4	Govern
5	fijará
6	una
7	partida
8	extra
9	de
10	fondos
11	propios
12	de
13	,
14	"
15	como
16	mínimo
17	"
18	,
19	15.000
20	millones
21	(
22	90,15
23	millones
24	de
25	euros
26	)
27	para
28	enjugar
29	la
30	carga
31	financiera
32	sanitaria
33	,
34	como
35	hizo
36	en
37	1999
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Recordó	VERB	0	root
2	que	SCONJ	5	mark
3	el	DET	4	det
4	Govern	PROPN	5	nsubj
5	fijará	VERB	1	ccomp
6	una	DET	7	det
7	partida	NOUN	5	obj
8	extra	ADJ	7	amod
9	de	ADP	10	case
10	fondos	NOUN	7	nmod
11	propios	ADJ	10	amod
12	de	ADP	20	case
13	,	PUNCT	15	punct
14	"	PUNCT	15	punct
15	como	SCONJ	20	advmod
16	mínimo	NOUN	15	fixed
17	"	PUNCT	15	punct
18	,	PUNCT	15	punct
19	15.000	NUM	20	nummod
20	millones	NOUN	7	nmod
21	(	PUNCT	23	punct
22	90,15	NUM	23	nummod
23	millones	NOUN	20	appos
24	de	ADP	25	case
25	euros	NOUN	23	nmod
26	)	PUNCT	23	punct
27	para	ADP	28	mark
28	enjugar	VERB	5	advcl
29	la	DET	30	det
30	carga	NOUN	28	obj
31	financiera	ADJ	30	amod
32	sanitaria	ADJ	30	amod
33	,	PUNCT	35	punct
34	como	SCONJ	35	mark
35	hizo	VERB	28	advcl
36	en	ADP	37	case
37	1999	NOUN	35	obl
38	.	PUNCT	1	punct