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:
Para la Oficina Estatal de Control de la Competencia que investigó el asunto, las informaciones que obtuvieron eran muy concretas y, por tanto, la investigación llevó a la entidad a demandar a los cinco mayores proveedores de carburantes suecos (OK-Q8, Shell, Hydro, Statoil y Preem) por una cantidad de 740 millones de coronas (más de 14.000 millones de pesetas).
Postion	Tokenization
1	Para
2	la
3	Oficina
4	Estatal
5	de
6	Control
7	de
8	la
9	Competencia
10	que
11	investigó
12	el
13	asunto
14	,
15	las
16	informaciones
17	que
18	obtuvieron
19	eran
20	muy
21	concretas
22	y
23	,
24	por
25	tanto
26	,
27	la
28	investigación
29	llevó
30	a
31	la
32	entidad
33	a
34	demandar
35	a
36	los
37	cinco
38	mayores
39	proveedores
40	de
41	carburantes
42	suecos
43	(
44	OK-Q8
45	,
46	Shell
47	,
48	Hydro
49	,
50	Statoil
51	y
52	Preem
53	)
54	por
55	una
56	cantidad
57	de
58	740
59	millones
60	de
61	coronas
62	(
63	más
64	de
65	14.000
66	millones
67	de
68	pesetas
69	)
70	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	la	DET	3	det
3	Oficina	PROPN	21	obl
4	Estatal	PROPN	3	flat
5	de	ADP	6	case
6	Control	PROPN	3	flat
7	de	ADP	9	case
8	la	DET	9	det
9	Competencia	PROPN	3	flat
10	que	PRON	11	nsubj
11	investigó	VERB	3	acl
12	el	DET	13	det
13	asunto	NOUN	11	obj
14	,	PUNCT	3	punct
15	las	DET	16	det
16	informaciones	NOUN	21	nsubj
17	que	PRON	18	obj
18	obtuvieron	VERB	16	acl
19	eran	AUX	21	cop
20	muy	ADV	21	advmod
21	concretas	ADJ	0	root
22	y	CCONJ	29	cc
23	,	PUNCT	24	punct
24	por	ADP	29	advmod
25	tanto	NOUN	24	fixed
26	,	PUNCT	24	punct
27	la	DET	28	det
28	investigación	NOUN	29	nsubj
29	llevó	VERB	21	conj
30	a	ADP	32	case
31	la	DET	32	det
32	entidad	NOUN	29	iobj
33	a	ADP	34	mark
34	demandar	VERB	29	xcomp
35	a	ADP	39	case
36	los	DET	39	det
37	cinco	NUM	36	nummod
38	mayores	ADJ	39	amod
39	proveedores	NOUN	34	obj
40	de	ADP	41	case
41	carburantes	NOUN	39	nmod
42	suecos	ADJ	41	amod
43	(	PUNCT	44	punct
44	OK-Q8	PROPN	41	appos
45	,	PUNCT	46	punct
46	Shell	PROPN	44	conj
47	,	PUNCT	48	punct
48	Hydro	PROPN	44	conj
49	,	PUNCT	50	punct
50	Statoil	PROPN	44	conj
51	y	CCONJ	52	cc
52	Preem	PROPN	44	conj
53	)	PUNCT	44	punct
54	por	ADP	56	case
55	una	DET	56	det
56	cantidad	NOUN	34	obl
57	de	ADP	59	case
58	740	NUM	59	nummod
59	millones	NOUN	56	nmod
60	de	ADP	61	case
61	coronas	NOUN	59	nmod
62	(	PUNCT	66	punct
63	más	ADV	66	advmod
64	de	ADP	63	case
65	14.000	NUM	63	nummod
66	millones	NOUN	59	appos
67	de	ADP	68	case
68	pesetas	NOUN	66	nmod
69	)	PUNCT	66	punct
70	.	PUNCT	21	punct