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 Militar, que llegó al lugar para controlar a los manifestantes, arrestó a tres personas, dos de ellas profesores, y el tercero, un desempleado.
Postion	Tokenization
1	La
2	Policía
3	Militar
4	,
5	que
6	llegó
7	al
8	lugar
9	para
10	controlar
11	a
12	los
13	manifestantes
14	,
15	arrestó
16	a
17	tres
18	personas
19	,
20	dos
21	de
22	ellas
23	profesores
24	,
25	y
26	el
27	tercero
28	,
29	un
30	desempleado
31	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Policía	PROPN	15	nsubj
3	Militar	PROPN	2	flat
4	,	PUNCT	6	punct
5	que	PRON	6	nsubj
6	llegó	VERB	2	acl
7	al	ADP	8	case
8	lugar	NOUN	6	obl
9	para	ADP	10	mark
10	controlar	VERB	6	advcl
11	a	ADP	13	case
12	los	DET	13	det
13	manifestantes	NOUN	10	obj
14	,	PUNCT	6	punct
15	arrestó	VERB	0	root
16	a	ADP	18	case
17	tres	NUM	18	nummod
18	personas	NOUN	15	obj
19	,	PUNCT	20	punct
20	dos	NUM	18	nummod
21	de	ADP	22	case
22	ellas	PRON	20	nmod
23	profesores	NOUN	20	appos
24	,	PUNCT	27	punct
25	y	CCONJ	27	cc
26	el	DET	27	det
27	tercero	ADJ	20	conj
28	,	PUNCT	27	punct
29	un	DET	30	det
30	desempleado	NOUN	27	obj
31	.	PUNCT	15	punct