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:
Je chybou autokrativně rozhodujícího Ivana Hlinky, že po bezbarvém vystoupení na olympijských hrách naivně vložil svou důvěru i do hráčů, kteří ho v Lillehammeru nemohli nezklamat.
Postion	Tokenization
1	Je
2	chybou
3	autokrativně
4	rozhodujícího
5	Ivana
6	Hlinky
7	,
8	že
9	po
10	bezbarvém
11	vystoupení
12	na
13	olympijských
14	hrách
15	naivně
16	vložil
17	svou
18	důvěru
19	i
20	do
21	hráčů
22	,
23	kteří
24	ho
25	v
26	Lillehammeru
27	nemohli
28	nezklamat
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	2	cop
2	chybou	NOUN	0	root
3	autokrativně	ADV	4	advmod
4	rozhodujícího	ADJ	5	amod
5	Ivana	PROPN	2	nmod
6	Hlinky	PROPN	5	flat
7	,	PUNCT	16	punct
8	že	SCONJ	16	mark
9	po	ADP	11	case
10	bezbarvém	ADJ	11	amod
11	vystoupení	NOUN	16	obl
12	na	ADP	14	case
13	olympijských	ADJ	14	amod
14	hrách	NOUN	11	nmod
15	naivně	ADV	16	advmod
16	vložil	VERB	2	csubj
17	svou	DET	18	det
18	důvěru	NOUN	16	obj
19	i	CCONJ	21	advmod:emph
20	do	ADP	21	case
21	hráčů	NOUN	16	obl
22	,	PUNCT	27	punct
23	kteří	DET	27	nsubj
24	ho	PRON	28	obj
25	v	ADP	26	case
26	Lillehammeru	PROPN	27	obl
27	nemohli	VERB	21	acl:relcl
28	nezklamat	VERB	27	xcomp
29	.	PUNCT	2	punct