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:
Aunque la gravedad de las protestas británicas no pueden compararse a las manifestaciones de Francia, los bloqueos han mermado las reservas de las gasolineras y han dificultado la distribución del carburante.
Postion	Tokenization
1	Aunque
2	la
3	gravedad
4	de
5	las
6	protestas
7	británicas
8	no
9	pueden
10	compararse
11	comparar
12	se
13	a
14	las
15	manifestaciones
16	de
17	Francia
18	,
19	los
20	bloqueos
21	han
22	mermado
23	las
24	reservas
25	de
26	las
27	gasolineras
28	y
29	han
30	dificultado
31	la
32	distribución
33	del
34	carburante
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Aunque	SCONJ	10	mark
2	la	DET	3	det
3	gravedad	NOUN	10	nsubj
4	de	ADP	6	case
5	las	DET	6	det
6	protestas	NOUN	3	nmod
7	británicas	ADJ	6	amod
8	no	ADV	10	advmod
9	pueden	AUX	10	aux
10	compararse	_	None	_
11	comparar	VERB	21	advcl
12	se	PRON	10	expl:pass
13	a	ADP	14	case
14	las	DET	14	det
15	manifestaciones	NOUN	10	obj
16	de	ADP	16	case
17	Francia	PROPN	14	nmod
18	,	PUNCT	10	punct
19	los	DET	19	det
20	bloqueos	NOUN	21	nsubj
21	han	AUX	21	aux
22	mermado	VERB	0	root
23	las	DET	23	det
24	reservas	NOUN	21	obj
25	de	ADP	26	case
26	las	DET	26	det
27	gasolineras	NOUN	23	nmod
28	y	CCONJ	29	cc
29	han	AUX	29	aux
30	dificultado	VERB	21	conj
31	la	DET	31	det
32	distribución	NOUN	29	obj
33	del	ADP	33	case
34	carburante	NOUN	31	nmod
35	.	PUNCT	21	punct