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:
En los últimos meses se han precintado 17 locales nocturnos en el triángulo golfo, que no podrán reabrir si no subsanan las deficiencias detectadas, según el gerente del distrito, Joan Conde.
Postion	Tokenization
1	En
2	los
3	últimos
4	meses
5	se
6	han
7	precintado
8	17
9	locales
10	nocturnos
11	en
12	el
13	triángulo
14	golfo
15	,
16	que
17	no
18	podrán
19	reabrir
20	si
21	no
22	subsanan
23	las
24	deficiencias
25	detectadas
26	,
27	según
28	el
29	gerente
30	del
31	distrito
32	,
33	Joan
34	Conde
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	los	DET	4	det
3	últimos	ADJ	4	amod
4	meses	NOUN	7	obl
5	se	PRON	7	expl:pass
6	han	AUX	7	aux
7	precintado	VERB	0	root
8	17	NUM	9	nummod
9	locales	NOUN	7	nsubj
10	nocturnos	ADJ	9	amod
11	en	ADP	13	case
12	el	DET	13	det
13	triángulo	NOUN	9	nmod
14	golfo	ADJ	13	amod
15	,	PUNCT	19	punct
16	que	PRON	19	nsubj
17	no	ADV	19	advmod
18	podrán	AUX	19	aux
19	reabrir	VERB	9	acl
20	si	SCONJ	22	mark
21	no	ADV	22	advmod
22	subsanan	VERB	19	advcl
23	las	DET	24	det
24	deficiencias	NOUN	22	obj
25	detectadas	ADJ	24	amod
26	,	PUNCT	29	punct
27	según	ADP	29	case
28	el	DET	29	det
29	gerente	NOUN	19	obl
30	del	ADP	31	case
31	distrito	NOUN	29	nmod
32	,	PUNCT	33	punct
33	Joan	PROPN	29	appos
34	Conde	PROPN	33	flat
35	.	PUNCT	7	punct