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:
Milberg soslayó las insistentes preguntas de la prensa británica sobre el futuro de los trabajadores de Rover en Gran Bretaña y se limitó a recordar que en febrero ya avanzó que se reestructuraría la filial británica, pero BMW tuvo que recurrir a su venta en vista de las elevadas pérdidas acumuladas en 1999.
Postion	Tokenization
1	Milberg
2	soslayó
3	las
4	insistentes
5	preguntas
6	de
7	la
8	prensa
9	británica
10	sobre
11	el
12	futuro
13	de
14	los
15	trabajadores
16	de
17	Rover
18	en
19	Gran
20	Bretaña
21	y
22	se
23	limitó
24	a
25	recordar
26	que
27	en
28	febrero
29	ya
30	avanzó
31	que
32	se
33	reestructuraría
34	la
35	filial
36	británica
37	,
38	pero
39	BMW
40	tuvo
41	que
42	recurrir
43	a
44	su
45	venta
46	en
47	vista
48	de
49	las
50	elevadas
51	pérdidas
52	acumuladas
53	en
54	1999
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Milberg	PROPN	2	nsubj
2	soslayó	VERB	0	root
3	las	DET	5	det
4	insistentes	ADJ	5	amod
5	preguntas	NOUN	2	obj
6	de	ADP	8	case
7	la	DET	8	det
8	prensa	NOUN	5	nmod
9	británica	ADJ	8	amod
10	sobre	ADP	12	case
11	el	DET	12	det
12	futuro	NOUN	5	nmod
13	de	ADP	15	case
14	los	DET	15	det
15	trabajadores	NOUN	12	nmod
16	de	ADP	17	case
17	Rover	PROPN	15	nmod
18	en	ADP	19	case
19	Gran	ADJ	15	nmod
20	Bretaña	PROPN	19	flat
21	y	CCONJ	23	cc
22	se	PRON	23	expl:pv
23	limitó	VERB	2	conj
24	a	ADP	25	mark
25	recordar	VERB	23	ccomp
26	que	SCONJ	30	mark
27	en	ADP	28	case
28	febrero	NOUN	30	obl
29	ya	ADV	30	advmod
30	avanzó	VERB	25	ccomp
31	que	SCONJ	33	mark
32	se	PRON	33	expl:pass
33	reestructuraría	VERB	30	ccomp
34	la	DET	35	det
35	filial	NOUN	33	nsubj
36	británica	ADJ	35	amod
37	,	PUNCT	40	punct
38	pero	CCONJ	40	cc
39	BMW	PROPN	42	nsubj
40	tuvo	VERB	33	conj
41	que	SCONJ	42	cc
42	recurrir	VERB	40	conj
43	a	ADP	45	case
44	su	DET	45	det
45	venta	NOUN	42	obj
46	en	ADP	51	case
47	vista	NOUN	46	fixed
48	de	ADP	46	fixed
49	las	DET	51	det
50	elevadas	ADJ	51	amod
51	pérdidas	NOUN	42	obl
52	acumuladas	ADJ	51	amod
53	en	ADP	54	case
54	1999	NOUN	52	obl
55	.	PUNCT	2	punct