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:
Al tener conocimiento de los hechos, la policía rodeó las instalaciones escolares con un dispositivo de seguridad.
Postion	Tokenization
1	Al
2	tener
3	conocimiento
4	de
5	los
6	hechos
7	,
8	la
9	policía
10	rodeó
11	las
12	instalaciones
13	escolares
14	con
15	un
16	dispositivo
17	de
18	seguridad
19	.
Position	Tokenization	UPOS	Head	Deprel
1	Al	ADP	2	mark
2	tener	VERB	10	advcl
3	conocimiento	NOUN	2	obj
4	de	ADP	6	case
5	los	DET	6	det
6	hechos	NOUN	3	nmod
7	,	PUNCT	2	punct
8	la	DET	9	det
9	policía	NOUN	10	nsubj
10	rodeó	VERB	0	root
11	las	DET	12	det
12	instalaciones	NOUN	10	obj
13	escolares	ADJ	12	amod
14	con	ADP	16	case
15	un	DET	16	det
16	dispositivo	NOUN	10	obl
17	de	ADP	18	case
18	seguridad	NOUN	16	nmod
19	.	PUNCT	10	punct