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:
La policía, que tardó varias horas en controlar la situación, cargó con gases lacrimógenos para desalojar a esos grupos de las inmediaciones del centro de reuniones.
Postion	Tokenization
1	La
2	policía
3	,
4	que
5	tardó
6	varias
7	horas
8	en
9	controlar
10	la
11	situación
12	,
13	cargó
14	con
15	gases
16	lacrimógenos
17	para
18	desalojar
19	a
20	esos
21	grupos
22	de
23	las
24	inmediaciones
25	del
26	centro
27	de
28	reuniones
29	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	13	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	tardó	VERB	2	acl
6	varias	DET	7	det
7	horas	NOUN	5	iobj
8	en	ADP	9	mark
9	controlar	VERB	5	xcomp
10	la	DET	11	det
11	situación	NOUN	9	obj
12	,	PUNCT	5	punct
13	cargó	VERB	0	root
14	con	ADP	15	case
15	gases	NOUN	13	obl
16	lacrimógenos	ADJ	15	amod
17	para	ADP	18	mark
18	desalojar	VERB	13	advcl
19	a	ADP	21	case
20	esos	DET	21	det
21	grupos	NOUN	18	obj
22	de	ADP	24	case
23	las	DET	24	det
24	inmediaciones	NOUN	18	obl
25	del	ADP	26	case
26	centro	NOUN	24	nmod
27	de	ADP	28	case
28	reuniones	NOUN	26	nmod
29	.	PUNCT	13	punct