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 portavoz del Gobierno catalán, Artur Mas, manifestó ayer que "actuar para rebajar el precio de los carburantes no debe poner en peligro el objetivo del déficit cero del Gobierno".
Postion	Tokenization
1	El
2	portavoz
3	del
4	Gobierno
5	catalán
6	,
7	Artur
8	Mas
9	,
10	manifestó
11	ayer
12	que
13	"
14	actuar
15	para
16	rebajar
17	el
18	precio
19	de
20	los
21	carburantes
22	no
23	debe
24	poner
25	en
26	peligro
27	el
28	objetivo
29	del
30	déficit
31	cero
32	del
33	Gobierno
34	"
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	10	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	catalán	ADJ	4	amod
6	,	PUNCT	7	punct
7	Artur	PROPN	2	appos
8	Mas	PROPN	7	flat
9	,	PUNCT	7	punct
10	manifestó	VERB	0	root
11	ayer	ADV	10	advmod
12	que	SCONJ	24	mark
13	"	PUNCT	24	punct
14	actuar	VERB	24	csubj
15	para	ADP	16	mark
16	rebajar	VERB	14	advcl
17	el	DET	18	det
18	precio	NOUN	16	obj
19	de	ADP	21	case
20	los	DET	21	det
21	carburantes	NOUN	18	nmod
22	no	ADV	24	advmod
23	debe	AUX	24	aux
24	poner	VERB	10	xcomp
25	en	ADP	26	case
26	peligro	NOUN	24	obl
27	el	DET	28	det
28	objetivo	NOUN	24	obj
29	del	ADP	30	case
30	déficit	NOUN	28	nmod
31	cero	NUM	30	nummod
32	del	ADP	33	case
33	Gobierno	PROPN	28	nmod
34	"	PUNCT	24	punct
35	.	PUNCT	10	punct