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:
Brown ya ha advertido de que el Gobierno no va a rebajar ni un penique los impuestos del carburante y que los bloqueos no suponen una solución.
Postion	Tokenization
1	Brown
2	ya
3	ha
4	advertido
5	de
6	que
7	el
8	Gobierno
9	no
10	va
11	a
12	rebajar
13	ni
14	un
15	penique
16	los
17	impuestos
18	del
19	carburante
20	y
21	que
22	los
23	bloqueos
24	no
25	suponen
26	una
27	solución
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Brown	PROPN	4	nsubj
2	ya	ADV	4	advmod
3	ha	AUX	4	aux
4	advertido	VERB	0	root
5	de	ADP	12	mark
6	que	SCONJ	12	mark
7	el	DET	8	det
8	Gobierno	PROPN	12	nsubj
9	no	ADV	12	advmod
10	va	AUX	12	aux
11	a	ADP	12	mark
12	rebajar	VERB	4	xcomp
13	ni	ADV	15	advmod
14	un	DET	15	det
15	penique	NOUN	12	obj
16	los	DET	17	det
17	impuestos	NOUN	12	obj
18	del	ADP	19	case
19	carburante	NOUN	17	nmod
20	y	CCONJ	25	cc
21	que	SCONJ	25	mark
22	los	DET	23	det
23	bloqueos	NOUN	25	nsubj
24	no	ADV	25	advmod
25	suponen	VERB	12	conj
26	una	DET	27	det
27	solución	NOUN	25	obj
28	.	PUNCT	4	punct