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:
La posibilidad de aliviar los costes y de contrarrestar las pérdidas causadas por los bloqueos mediante el pago diferido de aranceles también es estudiada por el Gobierno, añadió el titular de Agricultura.
Postion	Tokenization
1	La
2	posibilidad
3	de
4	aliviar
5	los
6	costes
7	y
8	de
9	contrarrestar
10	las
11	pérdidas
12	causadas
13	por
14	los
15	bloqueos
16	mediante
17	el
18	pago
19	diferido
20	de
21	aranceles
22	también
23	es
24	estudiada
25	por
26	el
27	Gobierno
28	,
29	añadió
30	el
31	titular
32	de
33	Agricultura
34	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	posibilidad	NOUN	24	nsubj
3	de	ADP	4	mark
4	aliviar	VERB	2	acl
5	los	DET	6	det
6	costes	NOUN	4	obj
7	y	CCONJ	9	cc
8	de	ADP	9	mark
9	contrarrestar	VERB	4	conj
10	las	DET	11	det
11	pérdidas	NOUN	9	obj
12	causadas	ADJ	11	amod
13	por	ADP	15	case
14	los	DET	15	det
15	bloqueos	NOUN	12	obj
16	mediante	ADP	18	case
17	el	DET	18	det
18	pago	NOUN	4	conj
19	diferido	ADJ	18	amod
20	de	ADP	21	case
21	aranceles	NOUN	18	nmod
22	también	ADV	24	advmod
23	es	AUX	24	aux
24	estudiada	VERB	29	ccomp
25	por	ADP	27	case
26	el	DET	27	det
27	Gobierno	PROPN	24	obj
28	,	PUNCT	24	punct
29	añadió	VERB	0	root
30	el	DET	31	det
31	titular	NOUN	29	nsubj
32	de	ADP	33	case
33	Agricultura	PROPN	31	nmod
34	.	PUNCT	29	punct