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 encarecimiento de las hipotecas ha contribuido a frenar las ventas, ya que el tipo de interés a 30 años es del 8,62%, un punto más que hace un año.
Postion	Tokenization
1	El
2	encarecimiento
3	de
4	las
5	hipotecas
6	ha
7	contribuido
8	a
9	frenar
10	las
11	ventas
12	,
13	ya
14	que
15	el
16	tipo
17	de
18	interés
19	a
20	30
21	años
22	es
23	del
24	8,62%
25	,
26	un
27	punto
28	más
29	que
30	hace
31	un
32	año
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	encarecimiento	NOUN	7	nsubj
3	de	ADP	5	case
4	las	DET	5	det
5	hipotecas	NOUN	2	nmod
6	ha	AUX	7	aux
7	contribuido	VERB	0	root
8	a	ADP	9	mark
9	frenar	VERB	7	xcomp
10	las	DET	11	det
11	ventas	NOUN	9	obj
12	,	PUNCT	24	punct
13	ya	ADV	24	mark
14	que	SCONJ	13	fixed
15	el	DET	16	det
16	tipo	NOUN	24	nsubj
17	de	ADP	18	case
18	interés	NOUN	16	nmod
19	a	ADP	21	case
20	30	NUM	21	nummod
21	años	NOUN	16	nmod
22	es	AUX	24	cop
23	del	ADP	24	case
24	8,62%	SYM	7	advcl
25	,	PUNCT	27	punct
26	un	DET	27	det
27	punto	NOUN	24	appos
28	más	ADV	27	advmod
29	que	SCONJ	30	mark
30	hace	VERB	27	advcl
31	un	DET	32	det
32	año	NOUN	30	obj
33	.	PUNCT	7	punct