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:
El Departamento de Justicia dijo respecto a la última comparecencia de la compañía que ésta no tiene en cuenta el hecho de que se ha determinado "que Microsoft ha cometido repetidamente graves violaciones legales y que es preciso aplicar remedios serios para restablecer la competencia e impedir violaciones similares en el futuro".
Postion	Tokenization
1	El
2	Departamento
3	de
4	Justicia
5	dijo
6	respecto
7	a
8	la
9	última
10	comparecencia
11	de
12	la
13	compañía
14	que
15	ésta
16	no
17	tiene
18	en
19	cuenta
20	el
21	hecho
22	de
23	que
24	se
25	ha
26	determinado
27	"
28	que
29	Microsoft
30	ha
31	cometido
32	repetidamente
33	graves
34	violaciones
35	legales
36	y
37	que
38	es
39	preciso
40	aplicar
41	remedios
42	serios
43	para
44	restablecer
45	la
46	competencia
47	e
48	impedir
49	violaciones
50	similares
51	en
52	el
53	futuro
54	"
55	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Departamento	PROPN	5	nsubj
3	de	ADP	4	case
4	Justicia	PROPN	2	flat
5	dijo	VERB	0	root
6	respecto	NOUN	10	case
7	a	ADP	6	fixed
8	la	DET	10	det
9	última	ADJ	10	amod
10	comparecencia	NOUN	5	obl
11	de	ADP	13	case
12	la	DET	13	det
13	compañía	NOUN	10	nmod
14	que	SCONJ	17	mark
15	ésta	PRON	17	nsubj
16	no	ADV	17	advmod
17	tiene	VERB	5	ccomp
18	en	ADP	19	case
19	cuenta	NOUN	17	compound
20	el	DET	21	det
21	hecho	NOUN	17	obj
22	de	ADP	26	mark
23	que	SCONJ	26	mark
24	se	PRON	26	expl:pass
25	ha	AUX	26	aux
26	determinado	VERB	21	acl
27	"	PUNCT	31	punct
28	que	SCONJ	31	mark
29	Microsoft	PROPN	31	nsubj
30	ha	AUX	31	aux
31	cometido	VERB	26	csubj
32	repetidamente	ADV	31	advmod
33	graves	ADJ	34	amod
34	violaciones	NOUN	31	obj
35	legales	ADJ	34	amod
36	y	CCONJ	39	cc
37	que	SCONJ	39	mark
38	es	AUX	39	cop
39	preciso	ADJ	31	conj
40	aplicar	VERB	39	csubj
41	remedios	NOUN	40	obj
42	serios	ADJ	41	amod
43	para	ADP	44	mark
44	restablecer	VERB	41	acl
45	la	DET	46	det
46	competencia	NOUN	44	obj
47	e	CCONJ	48	cc
48	impedir	VERB	44	conj
49	violaciones	NOUN	48	obj
50	similares	ADJ	49	amod
51	en	ADP	53	case
52	el	DET	53	det
53	futuro	NOUN	48	obl
54	"	PUNCT	31	punct
55	.	PUNCT	5	punct