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 Gobierno de Jordi Pujol sigue los pasos del Ejecutivo central, que prevé un crecimiento económico en el 2002 del 2,9%, una décima inferior al alcanzado hasta el pasado Junio.
Postion	Tokenization
1	El
2	Gobierno
3	de
4	Jordi
5	Pujol
6	sigue
7	los
8	pasos
9	del
10	Ejecutivo
11	central
12	,
13	que
14	prevé
15	un
16	crecimiento
17	económico
18	en
19	el
20	2002
21	del
22	2,9%
23	,
24	una
25	décima
26	inferior
27	al
28	alcanzado
29	hasta
30	el
31	pasado
32	Junio
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	6	nsubj
3	de	ADP	4	case
4	Jordi	PROPN	2	nmod
5	Pujol	PROPN	4	flat
6	sigue	VERB	0	root
7	los	DET	8	det
8	pasos	NOUN	6	obj
9	del	ADP	10	case
10	Ejecutivo	PROPN	8	nmod
11	central	ADJ	10	amod
12	,	PUNCT	14	punct
13	que	PRON	14	nsubj
14	prevé	VERB	10	acl
15	un	DET	16	det
16	crecimiento	NOUN	14	obj
17	económico	ADJ	16	amod
18	en	ADP	20	case
19	el	DET	20	det
20	2002	NOUN	16	nmod
21	del	ADP	22	case
22	2,9%	SYM	16	nmod
23	,	PUNCT	25	punct
24	una	DET	25	det
25	décima	NOUN	22	appos
26	inferior	ADJ	25	amod
27	al	ADP	28	case
28	alcanzado	ADJ	26	amod
29	hasta	ADP	32	case
30	el	DET	32	det
31	pasado	ADJ	32	amod
32	Junio	NOUN	28	obl
33	.	PUNCT	6	punct