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:
La empresa productora del videojuego, que ha distribuido cinco millones de unidades en Europa, replicó que el consumo de Diazepan "es para el muñeco y no para el usuario", y que la denuncia "carece de sentido ya que de esa forma también habría que demandar a los fabricantes de coches, a los de bebidas alcohólicas y a los de tabaco porque son peligrosos".
Postion	Tokenization
1	La
2	empresa
3	productora
4	del
5	videojuego
6	,
7	que
8	ha
9	distribuido
10	cinco
11	millones
12	de
13	unidades
14	en
15	Europa
16	,
17	replicó
18	que
19	el
20	consumo
21	de
22	Diazepan
23	"
24	es
25	para
26	el
27	muñeco
28	y
29	no
30	para
31	el
32	usuario
33	"
34	,
35	y
36	que
37	la
38	denuncia
39	"
40	carece
41	de
42	sentido
43	ya
44	que
45	de
46	esa
47	forma
48	también
49	habría
50	que
51	demandar
52	a
53	los
54	fabricantes
55	de
56	coches
57	,
58	a
59	los
60	de
61	bebidas
62	alcohólicas
63	y
64	a
65	los
66	de
67	tabaco
68	porque
69	son
70	peligrosos
71	"
72	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	empresa	NOUN	17	nsubj
3	productora	ADJ	2	amod
4	del	ADP	5	case
5	videojuego	NOUN	3	nmod
6	,	PUNCT	9	punct
7	que	PRON	9	nsubj
8	ha	AUX	9	aux
9	distribuido	VERB	2	acl
10	cinco	NOUN	11	nmod
11	millones	NOUN	9	obj
12	de	ADP	13	case
13	unidades	NOUN	11	nmod
14	en	ADP	15	case
15	Europa	PROPN	9	obl
16	,	PUNCT	9	punct
17	replicó	VERB	0	root
18	que	SCONJ	27	mark
19	el	DET	20	det
20	consumo	NOUN	27	nsubj
21	de	ADP	22	case
22	Diazepan	PROPN	20	nmod
23	"	PUNCT	27	punct
24	es	AUX	27	cop
25	para	ADP	27	case
26	el	DET	27	det
27	muñeco	NOUN	17	ccomp
28	y	CCONJ	32	cc
29	no	ADV	32	advmod
30	para	ADP	32	case
31	el	DET	32	det
32	usuario	NOUN	27	conj
33	"	PUNCT	27	punct
34	,	PUNCT	40	punct
35	y	CCONJ	40	cc
36	que	SCONJ	40	mark
37	la	DET	38	det
38	denuncia	NOUN	40	nsubj
39	"	PUNCT	40	punct
40	carece	VERB	27	conj
41	de	ADP	42	case
42	sentido	NOUN	40	obj
43	ya	ADV	51	mark
44	que	SCONJ	43	fixed
45	de	ADP	47	case
46	esa	DET	47	det
47	forma	NOUN	51	obl
48	también	ADV	51	advmod
49	habría	AUX	40	advcl
50	que	SCONJ	51	cc
51	demandar	VERB	49	conj
52	a	ADP	54	case
53	los	DET	54	det
54	fabricantes	NOUN	51	obj
55	de	ADP	56	case
56	coches	NOUN	54	nmod
57	,	PUNCT	59	punct
58	a	ADP	59	case
59	los	DET	54	conj
60	de	ADP	59	case
61	bebidas	NOUN	59	obj
62	alcohólicas	ADJ	61	amod
63	y	CCONJ	65	cc
64	a	ADP	65	case
65	los	DET	54	conj
66	de	ADP	65	case
67	tabaco	NOUN	65	obj
68	porque	SCONJ	70	mark
69	son	AUX	70	cop
70	peligrosos	ADJ	51	advcl
71	"	PUNCT	40	punct
72	.	PUNCT	17	punct