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:
Fingí una enfermedad cuando, al avanzar las tropas nacionales - - siendo ya miliciano en Santander - - me quedé replegado para evitar que me evacuaran a Asturias.
Postion	Tokenization
1	Fingí
2	una
3	enfermedad
4	cuando
5	,
6	al
7	avanzar
8	las
9	tropas
10	nacionales
11	-
12	-
13	siendo
14	ya
15	miliciano
16	en
17	Santander
18	-
19	-
20	me
21	quedé
22	replegado
23	para
24	evitar
25	que
26	me
27	evacuaran
28	a
29	Asturias
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Fingí	VERB	0	root
2	una	DET	3	det
3	enfermedad	NOUN	1	obj
4	cuando	SCONJ	21	mark
5	,	PUNCT	7	punct
6	al	ADP	7	mark
7	avanzar	VERB	21	advcl
8	las	DET	9	det
9	tropas	NOUN	7	nsubj
10	nacionales	ADJ	9	amod
11	-	PUNCT	7	punct
12	-	PUNCT	7	punct
13	siendo	AUX	15	cop
14	ya	ADV	7	advmod
15	miliciano	ADJ	7	xcomp
16	en	ADP	17	case
17	Santander	PROPN	7	obl
18	-	PUNCT	7	punct
19	-	PUNCT	7	punct
20	me	PRON	21	expl:pv
21	quedé	VERB	1	advcl
22	replegado	ADJ	21	obj
23	para	ADP	24	mark
24	evitar	VERB	21	advcl
25	que	SCONJ	27	mark
26	me	PRON	27	obj
27	evacuaran	VERB	24	ccomp
28	a	ADP	29	case
29	Asturias	PROPN	27	obl
30	.	PUNCT	1	punct