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:
El Tesoro ha reducido en 0,242 puntos la rentabilidad de las letras a 12 y 18 meses, hasta situarla en el 4,584 por ciento y el 4,590 por ciento, respectivamente, según datos del Banco de España.
Postion	Tokenization
1	El
2	Tesoro
3	ha
4	reducido
5	en
6	0,242
7	puntos
8	la
9	rentabilidad
10	de
11	las
12	letras
13	a
14	12
15	y
16	18
17	meses
18	,
19	hasta
20	situarla
21	situar
22	la
23	en
24	el
25	4,584
26	por
27	ciento
28	y
29	el
30	4,590
31	por
32	ciento
33	,
34	respectivamente
35	,
36	según
37	datos
38	del
39	Banco
40	de
41	España
42	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tesoro	PROPN	4	nsubj
3	ha	AUX	4	aux
4	reducido	VERB	0	root
5	en	ADP	7	case
6	0,242	NUM	7	nummod
7	puntos	NOUN	4	obj
8	la	DET	9	det
9	rentabilidad	NOUN	4	obj
10	de	ADP	12	case
11	las	DET	12	det
12	letras	NOUN	9	nmod
13	a	ADP	17	case
14	12	NUM	17	nummod
15	y	CCONJ	16	cc
16	18	NUM	14	conj
17	meses	NOUN	4	obl
18	,	PUNCT	20	punct
19	hasta	ADP	20	mark
20	situarla	_	None	_
21	situar	VERB	4	advcl
22	la	PRON	20	obj
23	en	ADP	24	case
24	el	DET	24	det
25	4,584	NUM	20	obj
26	por	ADP	26	case
27	ciento	NUM	24	compound
28	y	CCONJ	29	cc
29	el	DET	29	det
30	4,590	NUM	24	conj
31	por	ADP	31	case
32	ciento	NUM	29	compound
33	,	PUNCT	33	punct
34	respectivamente	ADV	24	advmod
35	,	PUNCT	33	punct
36	según	ADP	36	case
37	datos	NOUN	4	obl
38	del	ADP	38	case
39	Banco	PROPN	36	nmod
40	de	ADP	40	case
41	España	PROPN	38	flat
42	.	PUNCT	4	punct