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:
Federico Trillo explicó que su departamento intentará que en esa parada militar tomen parte tropas europeas que han participado con los soldados españoles en misiones de paz.
Postion	Tokenization
1	Federico
2	Trillo
3	explicó
4	que
5	su
6	departamento
7	intentará
8	que
9	en
10	esa
11	parada
12	militar
13	tomen
14	parte
15	tropas
16	europeas
17	que
18	han
19	participado
20	con
21	los
22	soldados
23	españoles
24	en
25	misiones
26	de
27	paz
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Federico	PROPN	3	nsubj
2	Trillo	PROPN	1	flat
3	explicó	VERB	0	root
4	que	SCONJ	7	mark
5	su	DET	6	det
6	departamento	NOUN	7	nsubj
7	intentará	VERB	3	ccomp
8	que	SCONJ	13	mark
9	en	ADP	11	case
10	esa	DET	11	det
11	parada	NOUN	13	obj
12	militar	ADJ	11	amod
13	tomen	VERB	7	ccomp
14	parte	NOUN	13	compound
15	tropas	NOUN	13	nsubj
16	europeas	ADJ	15	amod
17	que	PRON	19	nsubj
18	han	AUX	19	aux
19	participado	VERB	15	acl
20	con	ADP	22	case
21	los	DET	22	det
22	soldados	NOUN	19	obl
23	españoles	ADJ	22	amod
24	en	ADP	25	case
25	misiones	NOUN	19	obj
26	de	ADP	27	case
27	paz	NOUN	25	nmod
28	.	PUNCT	3	punct