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:
En la operación bilateral participaron 72 especialistas del FBI en medicina forense, dibujantes, manejo de materiales peligrosos e informática, 220 militares mexicanos y otras 182 personas de la PGR.
Postion	Tokenization
1	En
2	la
3	operación
4	bilateral
5	participaron
6	72
7	especialistas
8	del
9	FBI
10	en
11	medicina
12	forense
13	,
14	dibujantes
15	,
16	manejo
17	de
18	materiales
19	peligrosos
20	e
21	informática
22	,
23	220
24	militares
25	mexicanos
26	y
27	otras
28	182
29	personas
30	de
31	la
32	PGR
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	operación	NOUN	5	obj
4	bilateral	ADJ	3	amod
5	participaron	VERB	0	root
6	72	NUM	7	nummod
7	especialistas	NOUN	5	nsubj
8	del	ADP	9	case
9	FBI	PROPN	7	nmod
10	en	ADP	11	case
11	medicina	NOUN	7	nmod
12	forense	ADJ	11	amod
13	,	PUNCT	14	punct
14	dibujantes	NOUN	11	appos
15	,	PUNCT	16	punct
16	manejo	NOUN	11	conj
17	de	ADP	18	case
18	materiales	NOUN	16	nmod
19	peligrosos	ADJ	18	amod
20	e	CCONJ	21	cc
21	informática	NOUN	11	conj
22	,	PUNCT	24	punct
23	220	NUM	24	nummod
24	militares	NOUN	7	appos
25	mexicanos	ADJ	24	amod
26	y	CCONJ	29	cc
27	otras	PRON	28	nmod
28	182	NUM	29	nummod
29	personas	NOUN	7	conj
30	de	ADP	32	case
31	la	DET	32	det
32	PGR	PROPN	29	nmod
33	.	PUNCT	5	punct