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 nuevo escenario refrenda esta línea, porque el PP es decisivo en el Parlament e imprescindible para transmitir las inquietudes y la defensa de los intereses de Catalunya ante el Gobierno de España.
Postion	Tokenization
1	El
2	nuevo
3	escenario
4	refrenda
5	esta
6	línea
7	,
8	porque
9	el
10	PP
11	es
12	decisivo
13	en
14	el
15	Parlament
16	e
17	imprescindible
18	para
19	transmitir
20	las
21	inquietudes
22	y
23	la
24	defensa
25	de
26	los
27	intereses
28	de
29	Catalunya
30	ante
31	el
32	Gobierno
33	de
34	España
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	escenario	NOUN	4	nsubj
4	refrenda	VERB	0	root
5	esta	DET	6	det
6	línea	NOUN	4	obj
7	,	PUNCT	12	punct
8	porque	SCONJ	12	mark
9	el	DET	10	det
10	PP	PROPN	12	nsubj
11	es	AUX	12	cop
12	decisivo	ADJ	4	advcl
13	en	ADP	15	case
14	el	DET	15	det
15	Parlament	PROPN	12	nmod
16	e	CCONJ	17	cc
17	imprescindible	ADJ	12	conj
18	para	ADP	19	mark
19	transmitir	VERB	17	acl
20	las	DET	21	det
21	inquietudes	NOUN	19	obj
22	y	CCONJ	24	cc
23	la	DET	24	det
24	defensa	NOUN	21	conj
25	de	ADP	27	case
26	los	DET	27	det
27	intereses	NOUN	24	nmod
28	de	ADP	29	case
29	Catalunya	PROPN	27	nmod
30	ante	ADP	32	case
31	el	DET	32	det
32	Gobierno	PROPN	24	nmod
33	de	ADP	34	case
34	España	PROPN	32	flat
35	.	PUNCT	4	punct