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:
"Un experimento probará la preparación y las capacidades para el contexto militar del futuro, y sirve para que veamos cómo cada una de las fuerzas se desempeñará en una guerra".
Postion	Tokenization
1	"
2	Un
3	experimento
4	probará
5	la
6	preparación
7	y
8	las
9	capacidades
10	para
11	el
12	contexto
13	militar
14	del
15	futuro
16	,
17	y
18	sirve
19	para
20	que
21	veamos
22	cómo
23	cada
24	una
25	de
26	las
27	fuerzas
28	se
29	desempeñará
30	en
31	una
32	guerra
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Un	DET	3	det
3	experimento	NOUN	4	nsubj
4	probará	VERB	0	root
5	la	DET	6	det
6	preparación	NOUN	4	obj
7	y	CCONJ	9	cc
8	las	DET	9	det
9	capacidades	NOUN	6	conj
10	para	ADP	12	case
11	el	DET	12	det
12	contexto	NOUN	6	nmod
13	militar	ADJ	12	amod
14	del	ADP	15	case
15	futuro	NOUN	12	nmod
16	,	PUNCT	18	punct
17	y	CCONJ	18	cc
18	sirve	VERB	4	conj
19	para	ADP	21	mark
20	que	SCONJ	21	mark
21	veamos	VERB	18	ccomp
22	cómo	PRON	29	obl
23	cada	DET	24	det
24	una	PRON	29	nsubj
25	de	ADP	27	case
26	las	DET	27	det
27	fuerzas	NOUN	24	nmod
28	se	PRON	29	expl:pass
29	desempeñará	VERB	21	ccomp
30	en	ADP	32	case
31	una	DET	32	det
32	guerra	NOUN	29	obl
33	"	PUNCT	4	punct
34	.	PUNCT	4	punct