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:
Este nuevo y dudoso método de las empresas de carburantes para obtener ganancias sin bajar el precio ha hecho reaccionar otra vez a las instituciones del Estado que defienden al consumidor.
Postion	Tokenization
1	Este
2	nuevo
3	y
4	dudoso
5	método
6	de
7	las
8	empresas
9	de
10	carburantes
11	para
12	obtener
13	ganancias
14	sin
15	bajar
16	el
17	precio
18	ha
19	hecho
20	reaccionar
21	otra
22	vez
23	a
24	las
25	instituciones
26	del
27	Estado
28	que
29	defienden
30	al
31	consumidor
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Este	DET	5	det
2	nuevo	ADJ	5	amod
3	y	CCONJ	4	cc
4	dudoso	ADJ	2	conj
5	método	NOUN	19	nsubj
6	de	ADP	8	case
7	las	DET	8	det
8	empresas	NOUN	5	nmod
9	de	ADP	10	case
10	carburantes	NOUN	8	nmod
11	para	ADP	12	mark
12	obtener	VERB	5	acl
13	ganancias	NOUN	12	obj
14	sin	ADP	15	mark
15	bajar	VERB	12	advcl
16	el	DET	17	det
17	precio	NOUN	15	obj
18	ha	AUX	19	aux
19	hecho	VERB	0	root
20	reaccionar	VERB	19	xcomp
21	otra	DET	22	det
22	vez	NOUN	19	obl
23	a	ADP	25	case
24	las	DET	25	det
25	instituciones	NOUN	19	obj
26	del	ADP	27	case
27	Estado	PROPN	25	nmod
28	que	PRON	29	nsubj
29	defienden	VERB	25	acl
30	al	ADP	31	case
31	consumidor	NOUN	29	obj
32	.	PUNCT	19	punct