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:
Dodal, že u 75 až 80 procent takovýchto pacientů nenastanou trvalé následky, u zbývajících nemusí být následky velké, ale mohou "znepříjemňovat život".
Postion	Tokenization
1	Dodal
2	,
3	že
4	u
5	75
6	až
7	80
8	procent
9	takovýchto
10	pacientů
11	nenastanou
12	trvalé
13	následky
14	,
15	u
16	zbývajících
17	nemusí
18	být
19	následky
20	velké
21	,
22	ale
23	mohou
24	"
25	znepříjemňovat
26	život
27	"
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Dodal	VERB	0	root
2	,	PUNCT	11	punct
3	že	SCONJ	11	mark
4	u	ADP	8	case
5	75	NUM	8	nummod
6	až	CCONJ	7	cc
7	80	NUM	5	conj
8	procent	NOUN	11	obl
9	takovýchto	DET	10	det
10	pacientů	NOUN	8	nmod
11	nenastanou	VERB	1	ccomp
12	trvalé	ADJ	13	amod
13	následky	NOUN	11	nsubj
14	,	PUNCT	17	punct
15	u	ADP	16	case
16	zbývajících	ADJ	17	obl
17	nemusí	VERB	11	conj
18	být	AUX	20	cop
19	následky	NOUN	17	nsubj
20	velké	ADJ	17	xcomp
21	,	PUNCT	23	punct
22	ale	CCONJ	23	cc
23	mohou	VERB	17	conj
24	"	PUNCT	25	punct
25	znepříjemňovat	VERB	23	xcomp
26	život	NOUN	25	obj
27	"	PUNCT	25	punct
28	.	PUNCT	1	punct