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:
El objetivo es tener bajo permanente vigilancia los principales puntos negros de la ciudad, aunque, tal y como admiten los responsables de Vía Pública, en todos los casos no será posible instalar una cámara.
Postion	Tokenization
1	El
2	objetivo
3	es
4	tener
5	bajo
6	permanente
7	vigilancia
8	los
9	principales
10	puntos
11	negros
12	de
13	la
14	ciudad
15	,
16	aunque
17	,
18	tal
19	y
20	como
21	admiten
22	los
23	responsables
24	de
25	Vía
26	Pública
27	,
28	en
29	todos
30	los
31	casos
32	no
33	será
34	posible
35	instalar
36	una
37	cámara
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	objetivo	NOUN	3	nsubj
3	es	AUX	0	root
4	tener	VERB	3	ccomp
5	bajo	ADP	7	case
6	permanente	ADJ	7	amod
7	vigilancia	NOUN	4	obl
8	los	DET	10	det
9	principales	ADJ	10	amod
10	puntos	NOUN	4	obj
11	negros	ADJ	10	amod
12	de	ADP	14	case
13	la	DET	14	det
14	ciudad	NOUN	10	nmod
15	,	PUNCT	34	punct
16	aunque	SCONJ	34	mark
17	,	PUNCT	21	punct
18	tal	NOUN	21	mark
19	y	CCONJ	18	fixed
20	como	SCONJ	18	fixed
21	admiten	VERB	34	advcl
22	los	DET	23	det
23	responsables	NOUN	21	nsubj
24	de	ADP	25	case
25	Vía	PROPN	23	nmod
26	Pública	PROPN	25	flat
27	,	PUNCT	21	punct
28	en	ADP	31	case
29	todos	DET	30	det
30	los	DET	31	det
31	casos	NOUN	34	obl
32	no	ADV	34	advmod
33	será	AUX	34	cop
34	posible	ADJ	3	advcl
35	instalar	VERB	34	csubj
36	una	DET	37	det
37	cámara	NOUN	35	obj
38	.	PUNCT	3	punct