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:
Con estas movilizaciones los transportistas de la provincia de Valencia han expresado su protesta por las continuas subidas del precio del gasóleo y su impacto negativo en los costes del sector.
Postion	Tokenization
1	Con
2	estas
3	movilizaciones
4	los
5	transportistas
6	de
7	la
8	provincia
9	de
10	Valencia
11	han
12	expresado
13	su
14	protesta
15	por
16	las
17	continuas
18	subidas
19	del
20	precio
21	del
22	gasóleo
23	y
24	su
25	impacto
26	negativo
27	en
28	los
29	costes
30	del
31	sector
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	estas	DET	3	det
3	movilizaciones	NOUN	12	obl
4	los	DET	5	det
5	transportistas	NOUN	12	nsubj
6	de	ADP	8	case
7	la	DET	8	det
8	provincia	NOUN	5	nmod
9	de	ADP	10	case
10	Valencia	PROPN	8	nmod
11	han	AUX	12	aux
12	expresado	VERB	0	root
13	su	DET	14	det
14	protesta	NOUN	12	obj
15	por	ADP	18	case
16	las	DET	18	det
17	continuas	ADJ	18	amod
18	subidas	NOUN	14	nmod
19	del	ADP	20	case
20	precio	NOUN	18	nmod
21	del	ADP	22	case
22	gasóleo	NOUN	20	nmod
23	y	CCONJ	25	cc
24	su	DET	25	det
25	impacto	NOUN	18	conj
26	negativo	ADJ	25	amod
27	en	ADP	29	case
28	los	DET	29	det
29	costes	NOUN	25	nmod
30	del	ADP	31	case
31	sector	NOUN	29	nmod
32	.	PUNCT	12	punct