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:
Los consumidores tendrán que pagar ahora 1.309 pesetas por cada envase de 12,5 kilogramos, lo que supone un aumento del 15,33% respecto del precio anterior.
Postion	Tokenization
1	Los
2	consumidores
3	tendrán
4	que
5	pagar
6	ahora
7	1.309
8	pesetas
9	por
10	cada
11	envase
12	de
13	12,5
14	kilogramos
15	,
16	lo
17	que
18	supone
19	un
20	aumento
21	del
22	15,33%
23	respecto
24	del
25	precio
26	anterior
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	consumidores	NOUN	5	nsubj
3	tendrán	VERB	0	root
4	que	SCONJ	5	cc
5	pagar	VERB	3	conj
6	ahora	ADV	5	advmod
7	1.309	NUM	8	nummod
8	pesetas	NOUN	5	obj
9	por	ADP	11	case
10	cada	DET	11	det
11	envase	NOUN	5	obj
12	de	ADP	14	case
13	12,5	NUM	14	nummod
14	kilogramos	NOUN	11	nmod
15	,	PUNCT	18	punct
16	lo	PRON	18	det
17	que	PRON	18	nsubj
18	supone	VERB	5	advcl
19	un	DET	20	det
20	aumento	NOUN	18	obj
21	del	ADP	22	case
22	15,33%	SYM	20	nmod
23	respecto	NOUN	25	case
24	del	ADP	23	fixed
25	precio	NOUN	20	nmod
26	anterior	ADJ	25	amod
27	.	PUNCT	3	punct