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 matriculaciones de automóviles de turismo en el pasado mes de junio se elevaron a 146.489 unidades, un 0,2 por ciento menos que las 146.819 del mismo mes del pasado año, informaron hoy las asociaciones de fabricantes de automóviles (ANFAC), importadores (Aniacam), concesionarios (Faconauto) y vendedores (Ganvam).
Postion	Tokenization
1	Las
2	matriculaciones
3	de
4	automóviles
5	de
6	turismo
7	en
8	el
9	pasado
10	mes
11	de
12	junio
13	se
14	elevaron
15	a
16	146.489
17	unidades
18	,
19	un
20	0,2
21	por
22	ciento
23	menos
24	que
25	las
26	146.819
27	del
28	mismo
29	mes
30	del
31	pasado
32	año
33	,
34	informaron
35	hoy
36	las
37	asociaciones
38	de
39	fabricantes
40	de
41	automóviles
42	(
43	ANFAC
44	)
45	,
46	importadores
47	(
48	Aniacam
49	)
50	,
51	concesionarios
52	(
53	Faconauto
54	)
55	y
56	vendedores
57	(
58	Ganvam
59	)
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	matriculaciones	NOUN	14	nsubj
3	de	ADP	4	case
4	automóviles	NOUN	2	nmod
5	de	ADP	6	case
6	turismo	NOUN	4	nmod
7	en	ADP	10	case
8	el	DET	10	det
9	pasado	ADJ	10	amod
10	mes	NOUN	2	nmod
11	de	ADP	12	case
12	junio	NOUN	10	compound
13	se	PRON	14	expl:pv
14	elevaron	VERB	34	ccomp
15	a	ADP	17	case
16	146.489	NUM	17	nummod
17	unidades	NOUN	14	obj
18	,	PUNCT	20	punct
19	un	DET	20	det
20	0,2	NUM	17	appos
21	por	ADP	22	case
22	ciento	NUM	20	compound
23	menos	ADV	20	advmod
24	que	SCONJ	26	mark
25	las	DET	26	det
26	146.819	NUM	20	obl
27	del	ADP	29	case
28	mismo	DET	29	det
29	mes	NOUN	26	nmod
30	del	ADP	32	case
31	pasado	ADJ	32	amod
32	año	NOUN	29	nmod
33	,	PUNCT	14	punct
34	informaron	VERB	0	root
35	hoy	ADV	34	advmod
36	las	DET	37	det
37	asociaciones	NOUN	34	nsubj
38	de	ADP	39	case
39	fabricantes	NOUN	37	nmod
40	de	ADP	41	case
41	automóviles	NOUN	39	nmod
42	(	PUNCT	43	punct
43	ANFAC	PROPN	39	appos
44	)	PUNCT	43	punct
45	,	PUNCT	46	punct
46	importadores	NOUN	39	conj
47	(	PUNCT	48	punct
48	Aniacam	PROPN	46	appos
49	)	PUNCT	48	punct
50	,	PUNCT	51	punct
51	concesionarios	NOUN	39	conj
52	(	PUNCT	53	punct
53	Faconauto	PROPN	51	appos
54	)	PUNCT	53	punct
55	y	CCONJ	56	cc
56	vendedores	NOUN	39	conj
57	(	PUNCT	58	punct
58	Ganvam	PROPN	56	appos
59	)	PUNCT	58	punct
60	.	PUNCT	34	punct