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:
Las cuentas de la Generalitat llegarán a dos billones (12.020 millones de euros), frente a 1,8 billones (10.818 millones de euros) este año.
Postion	Tokenization
1	Las
2	cuentas
3	de
4	la
5	Generalitat
6	llegarán
7	a
8	dos
9	billones
10	(
11	12.020
12	millones
13	de
14	euros
15	)
16	,
17	frente
18	a
19	1,8
20	billones
21	(
22	10.818
23	millones
24	de
25	euros
26	)
27	este
28	año
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	cuentas	NOUN	6	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Generalitat	PROPN	2	nmod
6	llegarán	VERB	0	root
7	a	ADP	9	case
8	dos	NUM	9	nummod
9	billones	NOUN	6	obj
10	(	PUNCT	12	punct
11	12.020	NUM	12	nummod
12	millones	NOUN	9	appos
13	de	ADP	14	case
14	euros	NOUN	12	nmod
15	)	PUNCT	12	punct
16	,	PUNCT	20	punct
17	frente	NOUN	20	case
18	a	ADP	17	fixed
19	1,8	NUM	20	nummod
20	billones	NOUN	6	obl
21	(	PUNCT	23	punct
22	10.818	NUM	23	nummod
23	millones	NOUN	20	appos
24	de	ADP	25	case
25	euros	NOUN	23	nmod
26	)	PUNCT	23	punct
27	este	DET	28	det
28	año	NOUN	6	obl
29	.	PUNCT	6	punct