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:
La cantidad ahora fijada es de 1,6 millones de euros (270 millones de pesetas) y antes ascendía a 2,4 millones de euros (400 millones de pesetas).
Postion	Tokenization
1	La
2	cantidad
3	ahora
4	fijada
5	es
6	de
7	1,6
8	millones
9	de
10	euros
11	(
12	270
13	millones
14	de
15	pesetas
16	)
17	y
18	antes
19	ascendía
20	a
21	2,4
22	millones
23	de
24	euros
25	(
26	400
27	millones
28	de
29	pesetas
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	cantidad	NOUN	8	nsubj
3	ahora	ADV	4	advmod
4	fijada	ADJ	2	amod
5	es	AUX	8	cop
6	de	ADP	8	case
7	1,6	NUM	8	nummod
8	millones	NOUN	0	root
9	de	ADP	10	case
10	euros	NOUN	8	nmod
11	(	PUNCT	13	punct
12	270	NUM	13	nummod
13	millones	NOUN	10	appos
14	de	ADP	15	case
15	pesetas	NOUN	13	nmod
16	)	PUNCT	13	punct
17	y	CCONJ	19	cc
18	antes	ADV	19	advmod
19	ascendía	VERB	8	conj
20	a	ADP	22	case
21	2,4	NUM	22	nummod
22	millones	NOUN	19	obj
23	de	ADP	24	case
24	euros	NOUN	22	nmod
25	(	PUNCT	27	punct
26	400	NUM	27	nummod
27	millones	NOUN	22	appos
28	de	ADP	29	case
29	pesetas	NOUN	27	nmod
30	)	PUNCT	27	punct
31	.	PUNCT	8	punct