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 todoterrenos se redujeron en Junio un 6,9 por ciento, producto de las 8.677 unidades matriculadas, frente a las 9.319 del mismo mes de 1999, con lo que entre enero y Junio de este año ya suman 47.098 unidades, sólo un 1 por ciento superiores a las 46.632 del primer semestre del año pasado.
Postion	Tokenization
1	Las
2	matriculaciones
3	de
4	todoterrenos
5	se
6	redujeron
7	en
8	Junio
9	un
10	6,9
11	por
12	ciento
13	,
14	producto
15	de
16	las
17	8.677
18	unidades
19	matriculadas
20	,
21	frente
22	a
23	las
24	9.319
25	del
26	mismo
27	mes
28	de
29	1999
30	,
31	con
32	lo
33	que
34	entre
35	enero
36	y
37	Junio
38	de
39	este
40	año
41	ya
42	suman
43	47.098
44	unidades
45	,
46	sólo
47	un
48	1
49	por
50	ciento
51	superiores
52	a
53	las
54	46.632
55	del
56	primer
57	semestre
58	del
59	año
60	pasado
61	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	matriculaciones	NOUN	6	nsubj
3	de	ADP	4	case
4	todoterrenos	NOUN	2	nmod
5	se	PRON	6	expl:pv
6	redujeron	VERB	0	root
7	en	ADP	8	case
8	Junio	NOUN	6	obl
9	un	DET	10	det
10	6,9	NUM	6	obj
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	,	PUNCT	14	punct
14	producto	NOUN	6	obl
15	de	ADP	18	case
16	las	DET	17	det
17	8.677	NUM	18	nummod
18	unidades	NOUN	14	nmod
19	matriculadas	ADJ	18	amod
20	,	PUNCT	14	punct
21	frente	NOUN	24	case
22	a	ADP	21	fixed
23	las	DET	24	det
24	9.319	NUM	6	obl
25	del	ADP	27	case
26	mismo	DET	27	det
27	mes	NOUN	24	nmod
28	de	ADP	29	case
29	1999	NOUN	27	nmod
30	,	PUNCT	42	punct
31	con	ADP	42	mark
32	lo	PRON	42	det
33	que	PRON	42	obj
34	entre	ADP	35	case
35	enero	NOUN	42	obl
36	y	CCONJ	37	cc
37	Junio	NOUN	35	conj
38	de	ADP	40	case
39	este	DET	40	det
40	año	NOUN	35	nmod
41	ya	ADV	42	advmod
42	suman	VERB	6	advcl
43	47.098	NUM	44	nummod
44	unidades	NOUN	42	nsubj
45	,	PUNCT	51	punct
46	sólo	ADV	48	advmod
47	un	DET	48	det
48	1	NUM	51	obj
49	por	ADP	50	case
50	ciento	NUM	48	compound
51	superiores	ADJ	44	amod
52	a	ADP	54	case
53	las	DET	54	det
54	46.632	NUM	51	nummod
55	del	ADP	57	case
56	primer	ADJ	57	amod
57	semestre	NOUN	54	nmod
58	del	ADP	59	case
59	año	NOUN	57	nmod
60	pasado	ADJ	59	amod
61	.	PUNCT	6	punct