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:
"En estos momentos se están fabricando 25.000 descodificadores de última generación, y la comercialización empezará en el segundo semestre del año", adelantó ayer en Barcelona Pedro Vignau, director de recursos de Vía Digital, quien no quiso precisar datos que consideró estratégicos: la inversión en la nueva tecnología y la fórmula de comercialización (venta o alquiler) de los nuevos ingenios, diseñados por Open TV (compañía norteamericana cuyo software utilizan unos 14 millones de descodificadores en todo el mundo).
Postion	Tokenization
1	"
2	En
3	estos
4	momentos
5	se
6	están
7	fabricando
8	25.000
9	descodificadores
10	de
11	última
12	generación
13	,
14	y
15	la
16	comercialización
17	empezará
18	en
19	el
20	segundo
21	semestre
22	del
23	año
24	"
25	,
26	adelantó
27	ayer
28	en
29	Barcelona
30	Pedro
31	Vignau
32	,
33	director
34	de
35	recursos
36	de
37	Vía
38	Digital
39	,
40	quien
41	no
42	quiso
43	precisar
44	datos
45	que
46	consideró
47	estratégicos
48	:
49	la
50	inversión
51	en
52	la
53	nueva
54	tecnología
55	y
56	la
57	fórmula
58	de
59	comercialización
60	(
61	venta
62	o
63	alquiler
64	)
65	de
66	los
67	nuevos
68	ingenios
69	,
70	diseñados
71	por
72	Open
73	TV
74	(
75	compañía
76	norteamericana
77	cuyo
78	software
79	utilizan
80	unos
81	14
82	millones
83	de
84	descodificadores
85	en
86	todo
87	el
88	mundo
89	)
90	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	En	ADP	4	case
3	estos	DET	4	det
4	momentos	NOUN	7	obl
5	se	PRON	7	expl:pass
6	están	AUX	7	aux
7	fabricando	VERB	26	ccomp
8	25.000	NUM	9	nummod
9	descodificadores	NOUN	7	nsubj
10	de	ADP	12	case
11	última	ADJ	12	amod
12	generación	NOUN	9	nmod
13	,	PUNCT	17	punct
14	y	CCONJ	17	cc
15	la	DET	16	det
16	comercialización	NOUN	17	nsubj
17	empezará	VERB	7	conj
18	en	ADP	21	case
19	el	DET	21	det
20	segundo	ADJ	21	amod
21	semestre	NOUN	17	obl
22	del	ADP	23	case
23	año	NOUN	21	nmod
24	"	PUNCT	7	punct
25	,	PUNCT	7	punct
26	adelantó	VERB	0	root
27	ayer	ADV	26	advmod
28	en	ADP	29	case
29	Barcelona	PROPN	26	obl
30	Pedro	PROPN	26	nsubj
31	Vignau	PROPN	30	flat
32	,	PUNCT	33	punct
33	director	NOUN	30	appos
34	de	ADP	35	case
35	recursos	NOUN	33	nmod
36	de	ADP	37	case
37	Vía	PROPN	35	nmod
38	Digital	PROPN	37	flat
39	,	PUNCT	33	punct
40	quien	PRON	42	nsubj
41	no	ADV	42	advmod
42	quiso	VERB	30	acl
43	precisar	VERB	42	xcomp
44	datos	NOUN	43	obj
45	que	PRON	46	obj
46	consideró	VERB	44	acl
47	estratégicos	ADJ	46	obj
48	:	PUNCT	50	punct
49	la	DET	50	det
50	inversión	NOUN	44	appos
51	en	ADP	54	case
52	la	DET	54	det
53	nueva	ADJ	54	amod
54	tecnología	NOUN	50	nmod
55	y	CCONJ	57	cc
56	la	DET	57	det
57	fórmula	NOUN	50	conj
58	de	ADP	59	case
59	comercialización	NOUN	57	nmod
60	(	PUNCT	61	punct
61	venta	NOUN	59	appos
62	o	CCONJ	63	cc
63	alquiler	NOUN	61	conj
64	)	PUNCT	61	punct
65	de	ADP	68	case
66	los	DET	68	det
67	nuevos	ADJ	68	amod
68	ingenios	NOUN	59	nmod
69	,	PUNCT	70	punct
70	diseñados	ADJ	68	amod
71	por	ADP	72	case
72	Open	PROPN	70	obj
73	TV	PROPN	72	flat
74	(	PUNCT	75	punct
75	compañía	NOUN	72	appos
76	norteamericana	ADJ	75	amod
77	cuyo	PRON	78	nmod
78	software	NOUN	79	obj
79	utilizan	VERB	75	acl
80	unos	PRON	81	nmod
81	14	NUM	82	nummod
82	millones	NOUN	79	nsubj
83	de	ADP	84	case
84	descodificadores	NOUN	82	nmod
85	en	ADP	88	case
86	todo	DET	87	det
87	el	DET	88	det
88	mundo	NOUN	79	obl
89	)	PUNCT	75	punct
90	.	PUNCT	26	punct