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:
Sin embargo, estas naciones serían también las víctimas más indefensas y propiciatorias, ya que sus deficientes estructuras sanitarias no permitirían ni la pronta identificación del agente agresor, ni desde luego una eficaz atención a los afectados que, a la postre, acabarían además convertidos en vectores de contagio involuntarios.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	estas
5	naciones
6	serían
7	también
8	las
9	víctimas
10	más
11	indefensas
12	y
13	propiciatorias
14	,
15	ya
16	que
17	sus
18	deficientes
19	estructuras
20	sanitarias
21	no
22	permitirían
23	ni
24	la
25	pronta
26	identificación
27	del
28	agente
29	agresor
30	,
31	ni
32	desde
33	luego
34	una
35	eficaz
36	atención
37	a
38	los
39	afectados
40	que
41	,
42	a
43	la
44	postre
45	,
46	acabarían
47	además
48	convertidos
49	en
50	vectores
51	de
52	contagio
53	involuntarios
54	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	9	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	estas	DET	5	det
5	naciones	NOUN	9	nsubj
6	serían	AUX	9	cop
7	también	ADV	9	advmod
8	las	DET	9	det
9	víctimas	NOUN	0	root
10	más	ADV	11	advmod
11	indefensas	ADJ	9	amod
12	y	CCONJ	13	cc
13	propiciatorias	ADJ	11	conj
14	,	PUNCT	22	punct
15	ya	ADV	22	mark
16	que	SCONJ	15	fixed
17	sus	DET	19	det
18	deficientes	ADJ	19	amod
19	estructuras	NOUN	22	nsubj
20	sanitarias	ADJ	19	amod
21	no	ADV	22	advmod
22	permitirían	VERB	9	advcl
23	ni	CCONJ	26	cc
24	la	DET	26	det
25	pronta	ADJ	26	amod
26	identificación	NOUN	22	obj
27	del	ADP	28	case
28	agente	NOUN	26	nmod
29	agresor	ADJ	28	amod
30	,	PUNCT	36	punct
31	ni	CCONJ	36	cc
32	desde	NOUN	36	advmod
33	luego	ADV	32	fixed
34	una	DET	36	det
35	eficaz	ADJ	36	amod
36	atención	NOUN	26	conj
37	a	ADP	39	case
38	los	DET	39	det
39	afectados	NOUN	36	nmod
40	que	PRON	46	nsubj
41	,	PUNCT	42	punct
42	a	ADP	46	advmod
43	la	DET	42	fixed
44	postre	NOUN	42	fixed
45	,	PUNCT	42	punct
46	acabarían	VERB	39	acl
47	además	ADV	48	advmod
48	convertidos	ADJ	46	obj
49	en	ADP	50	case
50	vectores	NOUN	48	obj
51	de	ADP	52	case
52	contagio	NOUN	50	nmod
53	involuntarios	ADJ	50	amod
54	.	PUNCT	9	punct