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:
Precisamente esta semana, el futuro comandante de la fuerza multinacional desplegada en la zona (KFOR), el general español Juan Ortuño, fue recibido en audiencia por el Rey Juan Carlos y se entrevistó con el ministro de Defensa, Eduardo Serra, antes de incorporarse a su nuevo puesto en Pristina.
Postion	Tokenization
1	Precisamente
2	esta
3	semana
4	,
5	el
6	futuro
7	comandante
8	de
9	la
10	fuerza
11	multinacional
12	desplegada
13	en
14	la
15	zona
16	(
17	KFOR
18	)
19	,
20	el
21	general
22	español
23	Juan
24	Ortuño
25	,
26	fue
27	recibido
28	en
29	audiencia
30	por
31	el
32	Rey
33	Juan
34	Carlos
35	y
36	se
37	entrevistó
38	con
39	el
40	ministro
41	de
42	Defensa
43	,
44	Eduardo
45	Serra
46	,
47	antes
48	de
49	incorporarse
50	incorporar
51	se
52	a
53	su
54	nuevo
55	puesto
56	en
57	Pristina
58	.
Position	Tokenization	UPOS	Head	Deprel
1	Precisamente	ADV	3	advmod
2	esta	DET	3	det
3	semana	NOUN	27	obl
4	,	PUNCT	3	punct
5	el	DET	7	det
6	futuro	ADJ	7	amod
7	comandante	NOUN	27	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	fuerza	NOUN	7	nmod
11	multinacional	ADJ	10	amod
12	desplegada	ADJ	10	amod
13	en	ADP	15	case
14	la	DET	15	det
15	zona	NOUN	12	obl
16	(	PUNCT	17	punct
17	KFOR	PROPN	10	appos
18	)	PUNCT	17	punct
19	,	PUNCT	21	punct
20	el	DET	21	det
21	general	NOUN	7	appos
22	español	ADJ	21	amod
23	Juan	PROPN	21	appos
24	Ortuño	PROPN	23	flat
25	,	PUNCT	21	punct
26	fue	AUX	27	aux
27	recibido	VERB	0	root
28	en	ADP	29	case
29	audiencia	NOUN	27	obl
30	por	ADP	32	case
31	el	DET	32	det
32	Rey	PROPN	27	obj
33	Juan	PROPN	32	flat
34	Carlos	PROPN	32	flat
35	y	CCONJ	37	cc
36	se	PRON	37	expl:pv
37	entrevistó	VERB	27	conj
38	con	ADP	40	case
39	el	DET	40	det
40	ministro	NOUN	37	obj
41	de	ADP	42	case
42	Defensa	PROPN	40	nmod
43	,	PUNCT	44	punct
44	Eduardo	PROPN	40	appos
45	Serra	PROPN	44	flat
46	,	PUNCT	44	punct
47	antes	ADV	37	advmod
48	de	ADP	49	mark
49	incorporarse	_	None	_
50	incorporar	VERB	47	advcl
51	se	PRON	49	expl:pv
52	a	ADP	54	case
53	su	DET	54	det
54	nuevo	ADJ	54	amod
55	puesto	NOUN	49	obj
56	en	ADP	56	case
57	Pristina	PROPN	54	nmod
58	.	PUNCT	27	punct