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:
Según fuentes empresariales, el ex ministro trabajará en la delegación de la compañía en la calle Castellana, en Madrid, probablemente en el departamento comercial, en el que ya estuvo destinado en su última etapa en la empresa y donde ahora intentarán aprovechar sus conocimientos del sector y sus contactos sindicales y convertirle, pese a lo que él dice, en un ejecutivo.
Postion	Tokenization
1	Según
2	fuentes
3	empresariales
4	,
5	el
6	ex
7	ministro
8	trabajará
9	en
10	la
11	delegación
12	de
13	la
14	compañía
15	en
16	la
17	calle
18	Castellana
19	,
20	en
21	Madrid
22	,
23	probablemente
24	en
25	el
26	departamento
27	comercial
28	,
29	en
30	el
31	que
32	ya
33	estuvo
34	destinado
35	en
36	su
37	última
38	etapa
39	en
40	la
41	empresa
42	y
43	donde
44	ahora
45	intentarán
46	aprovechar
47	sus
48	conocimientos
49	del
50	sector
51	y
52	sus
53	contactos
54	sindicales
55	y
56	convertirle
57	convertir
58	le
59	,
60	pese
61	a
62	lo
63	que
64	él
65	dice
66	,
67	en
68	un
69	ejecutivo
70	.
Position	Tokenization	UPOS	Head	Deprel
1	Según	ADP	2	case
2	fuentes	NOUN	8	obl
3	empresariales	ADJ	2	amod
4	,	PUNCT	2	punct
5	el	DET	6	det
6	ex	NOUN	8	nsubj
7	ministro	NOUN	6	compound
8	trabajará	VERB	0	root
9	en	ADP	11	case
10	la	DET	11	det
11	delegación	NOUN	8	obl
12	de	ADP	14	case
13	la	DET	14	det
14	compañía	NOUN	11	nmod
15	en	ADP	17	case
16	la	DET	17	det
17	calle	NOUN	11	nmod
18	Castellana	PROPN	17	appos
19	,	PUNCT	21	punct
20	en	ADP	21	case
21	Madrid	PROPN	17	nmod
22	,	PUNCT	21	punct
23	probablemente	ADV	11	advmod
24	en	ADP	23	case
25	el	DET	26	det
26	departamento	NOUN	23	nmod
27	comercial	ADJ	26	amod
28	,	PUNCT	34	punct
29	en	ADP	31	case
30	el	DET	31	det
31	que	PRON	34	obl
32	ya	ADV	34	advmod
33	estuvo	AUX	34	cop
34	destinado	ADJ	26	acl
35	en	ADP	38	case
36	su	DET	38	det
37	última	ADJ	38	amod
38	etapa	NOUN	34	obl
39	en	ADP	41	case
40	la	DET	41	det
41	empresa	NOUN	38	nmod
42	y	CCONJ	45	cc
43	donde	PRON	45	obl
44	ahora	ADV	45	advmod
45	intentarán	VERB	34	conj
46	aprovechar	VERB	45	xcomp
47	sus	DET	48	det
48	conocimientos	NOUN	46	obj
49	del	ADP	50	case
50	sector	NOUN	48	nmod
51	y	CCONJ	53	cc
52	sus	DET	53	det
53	contactos	NOUN	48	conj
54	sindicales	ADJ	53	amod
55	y	CCONJ	56	cc
56	convertirle	_	None	_
57	convertir	VERB	46	conj
58	le	PRON	56	obj
59	,	PUNCT	64	punct
60	pese	NOUN	64	mark
61	a	ADP	59	fixed
62	lo	PRON	64	det
63	que	PRON	64	obj
64	él	PRON	64	nsubj
65	dice	VERB	56	advcl
66	,	PUNCT	64	punct
67	en	ADP	68	case
68	un	DET	68	det
69	ejecutivo	NOUN	56	obj
70	.	PUNCT	8	punct