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:
A la pregunta de por qué se había alistado voluntaria respondió que lo había hecho por una cosa que los europeos no sienten: la patria.
Postion	Tokenization
1	A
2	la
3	pregunta
4	de
5	por
6	qué
7	se
8	había
9	alistado
10	voluntaria
11	respondió
12	que
13	lo
14	había
15	hecho
16	por
17	una
18	cosa
19	que
20	los
21	europeos
22	no
23	sienten
24	:
25	la
26	patria
27	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	3	case
2	la	DET	3	det
3	pregunta	NOUN	11	iobj
4	de	ADP	9	mark
5	por	ADP	6	case
6	qué	PRON	9	obl
7	se	PRON	9	obj
8	había	AUX	9	aux
9	alistado	VERB	3	acl
10	voluntaria	ADJ	9	obj
11	respondió	VERB	0	root
12	que	SCONJ	15	mark
13	lo	PRON	15	obj
14	había	AUX	15	aux
15	hecho	VERB	11	ccomp
16	por	ADP	18	case
17	una	DET	18	det
18	cosa	NOUN	15	obl
19	que	PRON	23	obj
20	los	DET	21	det
21	europeos	NOUN	23	nsubj
22	no	ADV	23	advmod
23	sienten	VERB	18	acl
24	:	PUNCT	26	punct
25	la	DET	26	det
26	patria	NOUN	18	appos
27	.	PUNCT	11	punct