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:
Quién, sino el científico loco de las películas de ciencia-ficción, puede haber diseñado una bacteria como la legionella, capaz de sobrevivir en un ambiente tan higiénico como es un depósito de agua potable y de superar los métodos tradicionales de desinfección?
Postion	Tokenization
1	Quién
2	,
3	sino
4	el
5	científico
6	loco
7	de
8	las
9	películas
10	de
11	ciencia-ficción
12	,
13	puede
14	haber
15	diseñado
16	una
17	bacteria
18	como
19	la
20	legionella
21	,
22	capaz
23	de
24	sobrevivir
25	en
26	un
27	ambiente
28	tan
29	higiénico
30	como
31	es
32	un
33	depósito
34	de
35	agua
36	potable
37	y
38	de
39	superar
40	los
41	métodos
42	tradicionales
43	de
44	desinfección
45	?
Position	Tokenization	UPOS	Head	Deprel
1	Quién	PRON	15	nsubj
2	,	PUNCT	5	punct
3	sino	CCONJ	5	advmod
4	el	DET	5	det
5	científico	NOUN	1	appos
6	loco	ADJ	5	amod
7	de	ADP	9	case
8	las	DET	9	det
9	películas	NOUN	5	nmod
10	de	ADP	11	case
11	ciencia-ficción	NOUN	9	nmod
12	,	PUNCT	5	punct
13	puede	AUX	15	aux
14	haber	AUX	15	aux
15	diseñado	VERB	0	root
16	una	DET	17	det
17	bacteria	NOUN	15	obj
18	como	SCONJ	20	mark
19	la	DET	20	det
20	legionella	NOUN	17	nmod
21	,	PUNCT	22	punct
22	capaz	ADJ	17	amod
23	de	ADP	24	mark
24	sobrevivir	VERB	22	acl
25	en	ADP	27	case
26	un	DET	27	det
27	ambiente	NOUN	24	obl
28	tan	ADV	29	advmod
29	higiénico	ADJ	27	amod
30	como	SCONJ	31	mark
31	es	AUX	29	advcl
32	un	DET	33	det
33	depósito	NOUN	31	nsubj
34	de	ADP	35	case
35	agua	NOUN	33	nmod
36	potable	ADJ	35	amod
37	y	CCONJ	39	cc
38	de	ADP	39	mark
39	superar	VERB	24	conj
40	los	DET	41	det
41	métodos	NOUN	39	obj
42	tradicionales	ADJ	41	amod
43	de	ADP	44	case
44	desinfección	NOUN	41	nmod
45	?	PUNCT	15	punct