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:
"Každá z otázek měla dvě až čtyři varianty odpovědí, ale nemusela platit žádná," řekl Stiegler a prozradil nám i jeden chyták, na který se mnozí rozhodčí dali nachytat.
Postion	Tokenization
1	"
2	Každá
3	z
4	otázek
5	měla
6	dvě
7	až
8	čtyři
9	varianty
10	odpovědí
11	,
12	ale
13	nemusela
14	platit
15	žádná
16	,
17	"
18	řekl
19	Stiegler
20	a
21	prozradil
22	nám
23	i
24	jeden
25	chyták
26	,
27	na
28	který
29	se
30	mnozí
31	rozhodčí
32	dali
33	nachytat
34	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	5	punct
2	Každá	DET	5	nsubj
3	z	ADP	4	case
4	otázek	NOUN	2	nmod
5	měla	VERB	18	ccomp
6	dvě	NUM	9	nummod
7	až	CCONJ	8	cc
8	čtyři	NUM	6	conj
9	varianty	NOUN	5	obj
10	odpovědí	NOUN	9	nmod
11	,	PUNCT	13	punct
12	ale	CCONJ	13	cc
13	nemusela	VERB	5	conj
14	platit	VERB	13	xcomp
15	žádná	DET	13	nsubj
16	,	PUNCT	5	punct
17	"	PUNCT	5	punct
18	řekl	VERB	0	root
19	Stiegler	PROPN	18	nsubj
20	a	CCONJ	21	cc
21	prozradil	VERB	18	conj
22	nám	PRON	21	obl:arg
23	i	CCONJ	25	advmod:emph
24	jeden	NUM	25	nummod
25	chyták	NOUN	21	obj
26	,	PUNCT	32	punct
27	na	ADP	28	case
28	který	DET	33	obl:arg
29	se	PRON	32	expl:pass
30	mnozí	ADJ	31	amod
31	rozhodčí	NOUN	32	nsubj:pass
32	dali	VERB	25	acl:relcl
33	nachytat	VERB	32	xcomp
34	.	PUNCT	18	punct