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:
Se construirán en las zonas más afectadas por el problema y abrirán desde las diez de la mañana a las diez de la noche.
Postion	Tokenization
1	Se
2	construirán
3	en
4	las
5	zonas
6	más
7	afectadas
8	por
9	el
10	problema
11	y
12	abrirán
13	desde
14	las
15	diez
16	de
17	la
18	mañana
19	a
20	las
21	diez
22	de
23	la
24	noche
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:pass
2	construirán	VERB	0	root
3	en	ADP	5	case
4	las	DET	5	det
5	zonas	NOUN	2	obl
6	más	ADV	7	advmod
7	afectadas	ADJ	5	amod
8	por	ADP	10	case
9	el	DET	10	det
10	problema	NOUN	7	obl
11	y	CCONJ	12	cc
12	abrirán	VERB	2	conj
13	desde	ADP	15	case
14	las	DET	15	det
15	diez	NUM	12	obl
16	de	ADP	18	case
17	la	DET	18	det
18	mañana	NOUN	15	nmod
19	a	ADP	21	case
20	las	DET	21	det
21	diez	NUM	15	compound
22	de	ADP	24	case
23	la	DET	24	det
24	noche	NOUN	21	nmod
25	.	PUNCT	2	punct