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 protesta también arrecia en Castilla y León, donde los sindicatos propondrán a la patronal regional Conferco una huelga general y un cierre de establecimientos el 13 de julio.
Postion	Tokenization
1	La
2	protesta
3	también
4	arrecia
5	en
6	Castilla
7	y
8	León
9	,
10	donde
11	los
12	sindicatos
13	propondrán
14	a
15	la
16	patronal
17	regional
18	Conferco
19	una
20	huelga
21	general
22	y
23	un
24	cierre
25	de
26	establecimientos
27	el
28	13
29	de
30	julio
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	protesta	NOUN	4	nsubj
3	también	ADV	4	advmod
4	arrecia	VERB	0	root
5	en	ADP	6	case
6	Castilla	PROPN	4	obl
7	y	CCONJ	8	cc
8	León	PROPN	6	conj
9	,	PUNCT	13	punct
10	donde	PRON	13	obl
11	los	DET	12	det
12	sindicatos	NOUN	13	nsubj
13	propondrán	VERB	6	acl
14	a	ADP	16	case
15	la	DET	16	det
16	patronal	NOUN	13	obj
17	regional	ADJ	16	amod
18	Conferco	PROPN	16	appos
19	una	DET	20	det
20	huelga	NOUN	13	obj
21	general	ADJ	20	amod
22	y	CCONJ	24	cc
23	un	DET	24	det
24	cierre	NOUN	20	conj
25	de	ADP	26	case
26	establecimientos	NOUN	24	nmod
27	el	DET	28	det
28	13	NUM	13	obj
29	de	ADP	30	case
30	julio	NOUN	28	compound
31	.	PUNCT	4	punct