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:
Tanto si son verídicas como si no, estas noticias deberían servir, cuando menos, como materia de reflexión, ya que, en efecto, algunos de los mencionados casos poseen todos los visos de estar relacionados con una de las más terribles máquinas de guerra: las armas biológicas.
Postion	Tokenization
1	Tanto
2	si
3	son
4	verídicas
5	como
6	si
7	no
8	,
9	estas
10	noticias
11	deberían
12	servir
13	,
14	cuando
15	menos
16	,
17	como
18	materia
19	de
20	reflexión
21	,
22	ya
23	que
24	,
25	en
26	efecto
27	,
28	algunos
29	de
30	los
31	mencionados
32	casos
33	poseen
34	todos
35	los
36	visos
37	de
38	estar
39	relacionados
40	con
41	una
42	de
43	las
44	más
45	terribles
46	máquinas
47	de
48	guerra
49	:
50	las
51	armas
52	biológicas
53	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanto	ADV	4	cc
2	si	SCONJ	4	mark
3	son	AUX	4	cop
4	verídicas	ADJ	12	advcl
5	como	SCONJ	7	cc
6	si	SCONJ	7	mark
7	no	ADV	4	conj
8	,	PUNCT	4	punct
9	estas	DET	10	det
10	noticias	NOUN	12	nsubj
11	deberían	AUX	12	aux
12	servir	VERB	0	root
13	,	PUNCT	14	punct
14	cuando	ADV	12	advmod
15	menos	ADV	14	fixed
16	,	PUNCT	14	punct
17	como	SCONJ	14	mark
18	materia	NOUN	14	obl
19	de	ADP	20	case
20	reflexión	NOUN	18	nmod
21	,	PUNCT	33	punct
22	ya	ADV	33	mark
23	que	SCONJ	22	fixed
24	,	PUNCT	25	punct
25	en	ADP	33	advmod
26	efecto	NOUN	25	fixed
27	,	PUNCT	25	punct
28	algunos	PRON	33	nsubj
29	de	ADP	32	case
30	los	DET	32	det
31	mencionados	ADJ	32	amod
32	casos	NOUN	28	nmod
33	poseen	VERB	12	advcl
34	todos	DET	35	det
35	los	DET	36	det
36	visos	NOUN	33	obj
37	de	ADP	36	nmod
38	estar	AUX	39	aux
39	relacionados	ADJ	37	advmod
40	con	ADP	41	case
41	una	PRON	39	obj
42	de	ADP	46	case
43	las	DET	46	det
44	más	ADV	45	advmod
45	terribles	ADJ	46	amod
46	máquinas	NOUN	41	nmod
47	de	ADP	48	case
48	guerra	NOUN	46	nmod
49	:	PUNCT	51	punct
50	las	DET	51	det
51	armas	NOUN	41	appos
52	biológicas	ADJ	51	amod
53	.	PUNCT	12	punct