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 descenso de los precios se debió a la debilidad del consumo interno, que aún se resiente de la crisis económica, y a la apreciación del yen.
Postion	Tokenization
1	El
2	descenso
3	de
4	los
5	precios
6	se
7	debió
8	a
9	la
10	debilidad
11	del
12	consumo
13	interno
14	,
15	que
16	aún
17	se
18	resiente
19	de
20	la
21	crisis
22	económica
23	,
24	y
25	a
26	la
27	apreciación
28	del
29	yen
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	descenso	NOUN	7	nsubj
3	de	ADP	5	case
4	los	DET	5	det
5	precios	NOUN	2	nmod
6	se	PRON	7	expl:pv
7	debió	VERB	0	root
8	a	ADP	10	case
9	la	DET	10	det
10	debilidad	NOUN	7	obj
11	del	ADP	12	case
12	consumo	NOUN	10	nmod
13	interno	ADJ	12	amod
14	,	PUNCT	18	punct
15	que	PRON	18	nsubj
16	aún	ADV	18	advmod
17	se	PRON	18	expl:pv
18	resiente	VERB	12	acl
19	de	ADP	21	case
20	la	DET	21	det
21	crisis	NOUN	18	obj
22	económica	ADJ	21	amod
23	,	PUNCT	18	punct
24	y	CCONJ	27	cc
25	a	ADP	27	case
26	la	DET	27	det
27	apreciación	NOUN	10	conj
28	del	ADP	29	case
29	yen	NOUN	27	nmod
30	.	PUNCT	7	punct