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 objetivo del PP es configurarse como alternativa de gobierno en Catalunya para aplicar las políticas que nuestro partido ya ha hecho realidad en el Gobierno de España.
Postion	Tokenization
1	El
2	objetivo
3	del
4	PP
5	es
6	configurarse
7	configurar
8	se
9	como
10	alternativa
11	de
12	gobierno
13	en
14	Catalunya
15	para
16	aplicar
17	las
18	políticas
19	que
20	nuestro
21	partido
22	ya
23	ha
24	hecho
25	realidad
26	en
27	el
28	Gobierno
29	de
30	España
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	objetivo	NOUN	5	nsubj
3	del	ADP	4	case
4	PP	PROPN	2	nmod
5	es	AUX	0	root
6	configurarse	_	None	_
7	configurar	VERB	5	ccomp
8	se	PRON	6	obj
9	como	SCONJ	9	mark
10	alternativa	NOUN	6	obl
11	de	ADP	11	case
12	gobierno	NOUN	9	nmod
13	en	ADP	13	case
14	Catalunya	PROPN	9	nmod
15	para	ADP	15	mark
16	aplicar	VERB	9	acl
17	las	DET	17	det
18	políticas	NOUN	15	obj
19	que	PRON	23	obj
20	nuestro	DET	20	det
21	partido	NOUN	23	nsubj
22	ya	ADV	23	advmod
23	ha	AUX	23	aux
24	hecho	VERB	17	acl
25	realidad	NOUN	23	obj
26	en	ADP	27	case
27	el	DET	27	det
28	Gobierno	PROPN	23	obl
29	de	ADP	29	case
30	España	PROPN	27	nmod
31	.	PUNCT	5	punct