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:
A final de año, las previsiones de los economistas de las principales instituciones financieras sitúan las tasas de la eurozona entre el 4,25 y el 4,5 por ciento.
Postion	Tokenization
1	A
2	final
3	de
4	año
5	,
6	las
7	previsiones
8	de
9	los
10	economistas
11	de
12	las
13	principales
14	instituciones
15	financieras
16	sitúan
17	las
18	tasas
19	de
20	la
21	eurozona
22	entre
23	el
24	4,25
25	y
26	el
27	4,5
28	por
29	ciento
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	final	NOUN	1	fixed
3	de	ADP	1	fixed
4	año	NOUN	16	obl
5	,	PUNCT	4	punct
6	las	DET	7	det
7	previsiones	NOUN	16	nsubj
8	de	ADP	10	case
9	los	DET	10	det
10	economistas	NOUN	7	nmod
11	de	ADP	14	case
12	las	DET	14	det
13	principales	ADJ	14	amod
14	instituciones	NOUN	10	nmod
15	financieras	ADJ	14	amod
16	sitúan	VERB	0	root
17	las	DET	18	det
18	tasas	NOUN	16	obj
19	de	ADP	21	case
20	la	DET	21	det
21	eurozona	NOUN	18	nmod
22	entre	ADP	24	case
23	el	DET	24	det
24	4,25	NUM	16	obl
25	y	CCONJ	27	cc
26	el	DET	27	det
27	4,5	NUM	24	conj
28	por	ADP	29	case
29	ciento	NUM	27	compound
30	.	PUNCT	16	punct