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 el juego, de estrategia militar, el protagonista debe ocupar un pueblo y matar a todos sus enemigos, y necesita tomar el tranquilizante Diazepan para mejorar el pulso y la puntería.
Postion	Tokenization
1	En
2	el
3	juego
4	,
5	de
6	estrategia
7	militar
8	,
9	el
10	protagonista
11	debe
12	ocupar
13	un
14	pueblo
15	y
16	matar
17	a
18	todos
19	sus
20	enemigos
21	,
22	y
23	necesita
24	tomar
25	el
26	tranquilizante
27	Diazepan
28	para
29	mejorar
30	el
31	pulso
32	y
33	la
34	puntería
35	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	el	DET	3	det
3	juego	NOUN	12	obl
4	,	PUNCT	6	punct
5	de	ADP	6	case
6	estrategia	NOUN	3	nmod
7	militar	ADJ	6	amod
8	,	PUNCT	6	punct
9	el	DET	10	det
10	protagonista	NOUN	12	nsubj
11	debe	AUX	12	aux
12	ocupar	VERB	0	root
13	un	DET	14	det
14	pueblo	NOUN	12	obj
15	y	CCONJ	16	cc
16	matar	VERB	12	conj
17	a	ADP	20	case
18	todos	DET	19	det
19	sus	DET	20	det
20	enemigos	NOUN	16	obj
21	,	PUNCT	23	punct
22	y	CCONJ	23	cc
23	necesita	VERB	12	conj
24	tomar	VERB	23	xcomp
25	el	DET	26	det
26	tranquilizante	NOUN	24	obj
27	Diazepan	PROPN	26	appos
28	para	ADP	29	mark
29	mejorar	VERB	24	advcl
30	el	DET	31	det
31	pulso	NOUN	29	obj
32	y	CCONJ	34	cc
33	la	DET	34	det
34	puntería	NOUN	31	conj
35	.	PUNCT	12	punct