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 grupo Navidul obtuvo en 1999 un beneficio neto de 2.054 millones de pesetas (12 millones de euros), lo que supone un crecimiento del 30,4 por ciento respecto al ejercicio anterior, mientras que la cifra de negocios aumentó un ocho por ciento, hasta los 44.350 millones de pesetas (266,54 millones de euros).
Postion	Tokenization
1	El
2	grupo
3	Navidul
4	obtuvo
5	en
6	1999
7	un
8	beneficio
9	neto
10	de
11	2.054
12	millones
13	de
14	pesetas
15	(
16	12
17	millones
18	de
19	euros
20	)
21	,
22	lo
23	que
24	supone
25	un
26	crecimiento
27	del
28	30,4
29	por
30	ciento
31	respecto
32	al
33	ejercicio
34	anterior
35	,
36	mientras
37	que
38	la
39	cifra
40	de
41	negocios
42	aumentó
43	un
44	ocho
45	por
46	ciento
47	,
48	hasta
49	los
50	44.350
51	millones
52	de
53	pesetas
54	(
55	266,54
56	millones
57	de
58	euros
59	)
60	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	grupo	NOUN	4	nsubj
3	Navidul	PROPN	2	appos
4	obtuvo	VERB	0	root
5	en	ADP	6	case
6	1999	NOUN	4	obl
7	un	DET	8	det
8	beneficio	NOUN	4	obj
9	neto	ADJ	8	amod
10	de	ADP	12	case
11	2.054	NUM	12	nummod
12	millones	NOUN	8	nmod
13	de	ADP	14	case
14	pesetas	NOUN	12	nmod
15	(	PUNCT	17	punct
16	12	NUM	17	nummod
17	millones	NOUN	12	appos
18	de	ADP	19	case
19	euros	NOUN	17	nmod
20	)	PUNCT	17	punct
21	,	PUNCT	24	punct
22	lo	PRON	24	det
23	que	PRON	24	nsubj
24	supone	VERB	4	advcl
25	un	DET	26	det
26	crecimiento	NOUN	24	obj
27	del	ADP	28	case
28	30,4	NUM	26	nummod
29	por	ADP	30	case
30	ciento	NUM	28	compound
31	respecto	NOUN	33	case
32	al	ADP	31	fixed
33	ejercicio	NOUN	26	nmod
34	anterior	ADJ	33	amod
35	,	PUNCT	24	punct
36	mientras	CCONJ	42	mark
37	que	SCONJ	36	fixed
38	la	DET	39	det
39	cifra	NOUN	42	nsubj
40	de	ADP	41	case
41	negocios	NOUN	39	nmod
42	aumentó	VERB	4	advcl
43	un	DET	44	det
44	ocho	NUM	42	obl
45	por	ADP	46	case
46	ciento	NUM	44	compound
47	,	PUNCT	51	punct
48	hasta	ADP	51	case
49	los	DET	50	det
50	44.350	NUM	51	nummod
51	millones	NOUN	42	obl
52	de	ADP	53	case
53	pesetas	NOUN	51	nmod
54	(	PUNCT	56	punct
55	266,54	NUM	56	nummod
56	millones	NOUN	51	appos
57	de	ADP	58	case
58	euros	NOUN	56	nmod
59	)	PUNCT	56	punct
60	.	PUNCT	4	punct