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 plan de negocio diseñado por la entidad prevé un incremento de los beneficios antes de impuestos hasta 3.406 millones en 2003, lo que supondría un incremento del 43 por ciento respecto a los resultados obtenidos en 1999, con lo que en este trienio Caja Rural obtendría más de 9.000 millones de beneficios.
Postion	Tokenization
1	El
2	plan
3	de
4	negocio
5	diseñado
6	por
7	la
8	entidad
9	prevé
10	un
11	incremento
12	de
13	los
14	beneficios
15	antes
16	de
17	impuestos
18	hasta
19	3.406
20	millones
21	en
22	2003
23	,
24	lo
25	que
26	supondría
27	un
28	incremento
29	del
30	43
31	por
32	ciento
33	respecto
34	a
35	los
36	resultados
37	obtenidos
38	en
39	1999
40	,
41	con
42	lo
43	que
44	en
45	este
46	trienio
47	Caja
48	Rural
49	obtendría
50	más
51	de
52	9.000
53	millones
54	de
55	beneficios
56	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	plan	NOUN	9	nsubj
3	de	ADP	4	case
4	negocio	NOUN	2	nmod
5	diseñado	ADJ	2	amod
6	por	ADP	8	case
7	la	DET	8	det
8	entidad	NOUN	5	obj
9	prevé	VERB	0	root
10	un	DET	11	det
11	incremento	NOUN	9	obj
12	de	ADP	14	case
13	los	DET	14	det
14	beneficios	NOUN	11	nmod
15	antes	ADV	11	advmod
16	de	ADP	17	case
17	impuestos	NOUN	15	obl
18	hasta	ADP	20	case
19	3.406	NUM	20	nummod
20	millones	NOUN	11	nmod
21	en	ADP	22	case
22	2003	NOUN	11	nmod
23	,	PUNCT	26	punct
24	lo	PRON	26	det
25	que	PRON	26	nsubj
26	supondría	VERB	9	advcl
27	un	DET	28	det
28	incremento	NOUN	26	obj
29	del	ADP	30	case
30	43	NUM	28	nummod
31	por	ADP	32	case
32	ciento	NUM	30	compound
33	respecto	NOUN	36	case
34	a	ADP	33	fixed
35	los	DET	36	det
36	resultados	NOUN	26	obl
37	obtenidos	ADJ	36	amod
38	en	ADP	39	case
39	1999	NOUN	37	obl
40	,	PUNCT	49	punct
41	con	ADP	43	case
42	lo	PRON	43	det
43	que	PRON	49	obl
44	en	ADP	46	case
45	este	DET	46	det
46	trienio	NOUN	49	obl
47	Caja	PROPN	49	nsubj
48	Rural	PROPN	47	flat
49	obtendría	VERB	26	advcl
50	más	ADV	53	advmod
51	de	ADP	50	case
52	9.000	NUM	50	nummod
53	millones	NOUN	49	obj
54	de	ADP	55	case
55	beneficios	NOUN	53	nmod
56	.	PUNCT	9	punct