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:
Ésta es la previsión que maneja el conseller de Economia, Artur Mas, en el primer esbozo del Presupuesto de la Generalitat para el 2000 presentado ayer, en el que prevé una rebaja del déficit del 25%, hasta 11.250 millones de pesetas (67,61 millones de euros), con el objetivo de lograr el equilibrio presupuestario en el 2001.
Postion	Tokenization
1	Ésta
2	es
3	la
4	previsión
5	que
6	maneja
7	el
8	conseller
9	de
10	Economia
11	,
12	Artur
13	Mas
14	,
15	en
16	el
17	primer
18	esbozo
19	del
20	Presupuesto
21	de
22	la
23	Generalitat
24	para
25	el
26	2000
27	presentado
28	ayer
29	,
30	en
31	el
32	que
33	prevé
34	una
35	rebaja
36	del
37	déficit
38	del
39	25%
40	,
41	hasta
42	11.250
43	millones
44	de
45	pesetas
46	(
47	67,61
48	millones
49	de
50	euros
51	)
52	,
53	con
54	el
55	objetivo
56	de
57	lograr
58	el
59	equilibrio
60	presupuestario
61	en
62	el
63	2001
64	.
Position	Tokenization	UPOS	Head	Deprel
1	Ésta	PRON	4	nsubj
2	es	AUX	4	cop
3	la	DET	4	det
4	previsión	NOUN	0	root
5	que	PRON	6	obj
6	maneja	VERB	4	acl
7	el	DET	8	det
8	conseller	NOUN	6	nsubj
9	de	ADP	10	case
10	Economia	PROPN	8	nmod
11	,	PUNCT	12	punct
12	Artur	PROPN	8	appos
13	Mas	PROPN	12	flat
14	,	PUNCT	12	punct
15	en	ADP	18	case
16	el	DET	18	det
17	primer	ADJ	18	amod
18	esbozo	NOUN	6	obl
19	del	ADP	20	case
20	Presupuesto	PROPN	18	nmod
21	de	ADP	23	case
22	la	DET	23	det
23	Generalitat	PROPN	20	flat
24	para	ADP	26	case
25	el	DET	26	det
26	2000	NOUN	20	nmod
27	presentado	ADJ	18	amod
28	ayer	ADV	27	advmod
29	,	PUNCT	33	punct
30	en	ADP	32	case
31	el	DET	32	det
32	que	PRON	33	obl
33	prevé	VERB	18	acl
34	una	DET	35	det
35	rebaja	NOUN	33	obj
36	del	ADP	37	case
37	déficit	NOUN	35	nmod
38	del	ADP	39	case
39	25%	SYM	35	nmod
40	,	PUNCT	43	punct
41	hasta	ADP	43	case
42	11.250	NUM	43	nummod
43	millones	NOUN	35	nmod
44	de	ADP	45	case
45	pesetas	NOUN	43	nmod
46	(	PUNCT	48	punct
47	67,61	NUM	48	nummod
48	millones	NOUN	43	appos
49	de	ADP	50	case
50	euros	NOUN	48	nmod
51	)	PUNCT	48	punct
52	,	PUNCT	43	punct
53	con	ADP	57	mark
54	el	DET	53	fixed
55	objetivo	NOUN	53	fixed
56	de	ADP	53	fixed
57	lograr	VERB	33	advcl
58	el	DET	59	det
59	equilibrio	NOUN	57	obj
60	presupuestario	ADJ	59	amod
61	en	ADP	63	case
62	el	DET	63	det
63	2001	NOUN	57	obl
64	.	PUNCT	4	punct