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 socios de esa asociación han empezado a buscar consejo legal sobre una posible petición de compensación económica por las consecuencias sufridas tras adquirir el carburante de Mobil.
Postion	Tokenization
1	Los
2	socios
3	de
4	esa
5	asociación
6	han
7	empezado
8	a
9	buscar
10	consejo
11	legal
12	sobre
13	una
14	posible
15	petición
16	de
17	compensación
18	económica
19	por
20	las
21	consecuencias
22	sufridas
23	tras
24	adquirir
25	el
26	carburante
27	de
28	Mobil
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	socios	NOUN	7	nsubj
3	de	ADP	5	case
4	esa	DET	5	det
5	asociación	NOUN	2	nmod
6	han	AUX	7	aux
7	empezado	VERB	0	root
8	a	ADP	9	mark
9	buscar	VERB	7	xcomp
10	consejo	NOUN	9	obj
11	legal	ADJ	10	amod
12	sobre	ADP	15	case
13	una	DET	15	det
14	posible	ADJ	15	amod
15	petición	NOUN	10	nmod
16	de	ADP	17	case
17	compensación	NOUN	15	nmod
18	económica	ADJ	17	amod
19	por	ADP	21	case
20	las	DET	21	det
21	consecuencias	NOUN	17	nmod
22	sufridas	ADJ	21	amod
23	tras	ADP	24	mark
24	adquirir	VERB	22	advcl
25	el	DET	26	det
26	carburante	NOUN	24	obj
27	de	ADP	28	case
28	Mobil	PROPN	26	nmod
29	.	PUNCT	7	punct