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:
En cuanto a la incidencia que tendrá para la Caja Rural la reciente subida de tipos aprobada por el Banco Central Europeo, señaló que en el futuro oscilarán entre el 5 y el 6 por ciento y que rebajarlos por debajo de esas cifras provoca "una situación artificial" que supone "consciente o inconscientemente, una manipulación de la economía".
Postion	Tokenization
1	En
2	cuanto
3	a
4	la
5	incidencia
6	que
7	tendrá
8	para
9	la
10	Caja
11	Rural
12	la
13	reciente
14	subida
15	de
16	tipos
17	aprobada
18	por
19	el
20	Banco
21	Central
22	Europeo
23	,
24	señaló
25	que
26	en
27	el
28	futuro
29	oscilarán
30	entre
31	el
32	5
33	y
34	el
35	6
36	por
37	ciento
38	y
39	que
40	rebajarlos
41	rebajar
42	los
43	por
44	debajo
45	de
46	esas
47	cifras
48	provoca
49	"
50	una
51	situación
52	artificial
53	"
54	que
55	supone
56	"
57	consciente
58	o
59	inconscientemente
60	,
61	una
62	manipulación
63	de
64	la
65	economía
66	"
67	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	5	case
2	cuanto	NOUN	1	fixed
3	a	ADP	1	fixed
4	la	DET	5	det
5	incidencia	NOUN	24	obl
6	que	PRON	7	obj
7	tendrá	VERB	5	acl
8	para	ADP	10	case
9	la	DET	10	det
10	Caja	PROPN	7	obl
11	Rural	PROPN	10	flat
12	la	DET	14	det
13	reciente	ADJ	14	amod
14	subida	NOUN	7	nsubj
15	de	ADP	16	case
16	tipos	NOUN	14	nmod
17	aprobada	ADJ	14	amod
18	por	ADP	20	case
19	el	DET	20	det
20	Banco	PROPN	17	obj
21	Central	PROPN	20	flat
22	Europeo	PROPN	20	flat
23	,	PUNCT	5	punct
24	señaló	VERB	0	root
25	que	SCONJ	29	mark
26	en	ADP	28	case
27	el	DET	28	det
28	futuro	NOUN	29	obl
29	oscilarán	VERB	24	ccomp
30	entre	ADP	32	case
31	el	DET	32	det
32	5	NUM	29	obl
33	y	CCONJ	35	cc
34	el	DET	35	det
35	6	NUM	32	conj
36	por	ADP	37	case
37	ciento	NUM	35	compound
38	y	CCONJ	47	cc
39	que	SCONJ	47	mark
40	rebajarlos	_	None	_
41	rebajar	VERB	47	csubj
42	los	PRON	40	obj
43	por	ADP	46	case
44	debajo	ADV	42	fixed
45	de	ADP	42	fixed
46	esas	DET	46	det
47	cifras	NOUN	40	obl
48	provoca	VERB	29	conj
49	"	PUNCT	50	punct
50	una	DET	50	det
51	situación	NOUN	47	obj
52	artificial	ADJ	50	amod
53	"	PUNCT	50	punct
54	que	PRON	54	nsubj
55	supone	VERB	50	acl
56	"	PUNCT	54	punct
57	consciente	ADV	54	advmod
58	o	CCONJ	58	cc
59	inconscientemente	ADV	56	conj
60	,	PUNCT	56	punct
61	una	DET	61	det
62	manipulación	NOUN	54	obj
63	de	ADP	64	case
64	la	DET	64	det
65	economía	NOUN	61	nmod
66	"	PUNCT	54	punct
67	.	PUNCT	24	punct