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:
Como sólo la mitad de los efectivos trabaja en tareas de seguridad, la sensación de falta de agentes es todavía mayor.
Postion	Tokenization
1	Como
2	sólo
3	la
4	mitad
5	de
6	los
7	efectivos
8	trabaja
9	en
10	tareas
11	de
12	seguridad
13	,
14	la
15	sensación
16	de
17	falta
18	de
19	agentes
20	es
21	todavía
22	mayor
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Como	SCONJ	8	mark
2	sólo	ADV	7	advmod
3	la	DET	4	det
4	mitad	NOUN	7	nmod
5	de	ADP	4	case
6	los	DET	4	det
7	efectivos	NOUN	8	nsubj
8	trabaja	VERB	22	advcl
9	en	ADP	10	case
10	tareas	NOUN	8	obl
11	de	ADP	12	case
12	seguridad	NOUN	10	nmod
13	,	PUNCT	8	punct
14	la	DET	15	det
15	sensación	NOUN	22	nsubj
16	de	ADP	17	case
17	falta	NOUN	15	nmod
18	de	ADP	19	case
19	agentes	NOUN	17	nmod
20	es	AUX	22	cop
21	todavía	ADV	22	advmod
22	mayor	ADJ	0	root
23	.	PUNCT	22	punct