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:
A juicio de la oposición, la culpa de esta subida es del Gobierno que ha ido permitiendo a Repsol sucesivos incrementos en el precio del butano.
Postion	Tokenization
1	A
2	juicio
3	de
4	la
5	oposición
6	,
7	la
8	culpa
9	de
10	esta
11	subida
12	es
13	del
14	Gobierno
15	que
16	ha
17	ido
18	permitiendo
19	a
20	Repsol
21	sucesivos
22	incrementos
23	en
24	el
25	precio
26	del
27	butano
28	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	5	case
2	juicio	NOUN	1	fixed
3	de	ADP	1	fixed
4	la	DET	5	det
5	oposición	NOUN	14	obl
6	,	PUNCT	5	punct
7	la	DET	8	det
8	culpa	NOUN	14	nsubj
9	de	ADP	11	case
10	esta	DET	11	det
11	subida	NOUN	8	nmod
12	es	AUX	14	cop
13	del	ADP	14	case
14	Gobierno	PROPN	0	root
15	que	PRON	18	nsubj
16	ha	AUX	18	aux
17	ido	AUX	18	aux
18	permitiendo	VERB	14	acl
19	a	ADP	20	case
20	Repsol	PROPN	18	obj
21	sucesivos	ADJ	22	amod
22	incrementos	NOUN	18	obj
23	en	ADP	25	case
24	el	DET	25	det
25	precio	NOUN	22	nmod
26	del	ADP	27	case
27	butano	NOUN	25	nmod
28	.	PUNCT	14	punct