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:
Las asociaciones automovilísticas han reiterado que su opción preferida es la retirada del distintivo provincial, con el objetivo de facilitar un mayor dinamismo en el mercado de ocasión.
Postion	Tokenization
1	Las
2	asociaciones
3	automovilísticas
4	han
5	reiterado
6	que
7	su
8	opción
9	preferida
10	es
11	la
12	retirada
13	del
14	distintivo
15	provincial
16	,
17	con
18	el
19	objetivo
20	de
21	facilitar
22	un
23	mayor
24	dinamismo
25	en
26	el
27	mercado
28	de
29	ocasión
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	asociaciones	NOUN	5	nsubj
3	automovilísticas	ADJ	2	amod
4	han	AUX	5	aux
5	reiterado	VERB	0	root
6	que	SCONJ	12	mark
7	su	DET	8	det
8	opción	NOUN	12	nsubj
9	preferida	ADJ	8	amod
10	es	AUX	12	cop
11	la	DET	12	det
12	retirada	NOUN	5	ccomp
13	del	ADP	14	case
14	distintivo	NOUN	12	nmod
15	provincial	ADJ	14	amod
16	,	PUNCT	21	punct
17	con	ADP	21	mark
18	el	DET	17	fixed
19	objetivo	NOUN	17	fixed
20	de	ADP	17	fixed
21	facilitar	VERB	12	advcl
22	un	DET	24	det
23	mayor	ADJ	24	amod
24	dinamismo	NOUN	21	obj
25	en	ADP	27	case
26	el	DET	27	det
27	mercado	NOUN	21	obl
28	de	ADP	29	case
29	ocasión	NOUN	27	nmod
30	.	PUNCT	5	punct