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 text: Snad také proto vědeckým světem tak otřáslo zjištění, že E. coli dovede "inteligentně" řídit výskyt mutací ve vlastním genomu tak, aby podržela jen ty, které jí přinášejí selekční výhodu.
Position	Tokenization	UPOS	Head	Deprel
1	Snad	ADV	7	advmod
2	také	ADV	7	advmod
3	proto	CCONJ	7	advmod
4	vědeckým	ADJ	5	amod
5	světem	NOUN	7	obl:arg
6	tak	ADV	7	advmod
7	otřáslo	VERB	0	root
8	zjištění	NOUN	7	nsubj
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	E	NOUN	14	nsubj
12	.	PUNCT	11	punct
13	coli	ADJ	11	flat:foreign
14	dovede	VERB	8	acl
15	"	PUNCT	16	punct
16	inteligentně	ADV	18	advmod
17	"	PUNCT	16	punct
18	řídit	VERB	14	xcomp
19	výskyt	NOUN	18	obj
20	mutací	NOUN	19	nmod
21	ve	ADP	23	case
22	vlastním	ADJ	23	amod
23	genomu	NOUN	19	nmod
24	tak	ADV	18	advmod
25	,	PUNCT	28	punct
26	aby	_	None	_
27	aby	SCONJ	28	mark
28	by	AUX	28	aux
29	podržela	VERB	18	advcl
30	jen	PART	30	advmod:emph
31	ty	DET	28	obj
32	,	PUNCT	34	punct
33	které	DET	34	nsubj
34	jí	PRON	34	obl:arg
35	přinášejí	VERB	30	acl:relcl
36	selekční	ADJ	36	amod
37	výhodu	NOUN	34	obj
38	.	PUNCT	7	punct