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:
Když Frank Kadlec charakterizuje dobrého zaměstnance, mimo jiné říká: Dobrý zaměstnanec se zeptá: "Co chcete, abych udělal?"
Postion	Tokenization
1	Když
2	Frank
3	Kadlec
4	charakterizuje
5	dobrého
6	zaměstnance
7	,
8	mimo
9	jiné
10	říká
11	:
12	Dobrý
13	zaměstnanec
14	se
15	zeptá
16	:
17	"
18	Co
19	chcete
20	,
21	abych
22	aby
23	bych
24	udělal
25	?
26	"
Position	Tokenization	UPOS	Head	Deprel
1	Když	SCONJ	4	mark
2	Frank	PROPN	4	nsubj
3	Kadlec	PROPN	2	flat
4	charakterizuje	VERB	10	advcl
5	dobrého	ADJ	6	amod
6	zaměstnance	NOUN	4	obj
7	,	PUNCT	4	punct
8	mimo	ADP	9	case
9	jiné	ADJ	10	obl
10	říká	VERB	0	root
11	:	PUNCT	15	punct
12	Dobrý	ADJ	13	amod
13	zaměstnanec	NOUN	15	nsubj
14	se	PRON	15	expl:pv
15	zeptá	VERB	10	ccomp
16	:	PUNCT	19	punct
17	"	PUNCT	19	punct
18	Co	PRON	23	obj
19	chcete	VERB	15	ccomp
20	,	PUNCT	23	punct
21	abych	_	None	_
22	aby	SCONJ	23	mark
23	bych	AUX	23	aux
24	udělal	VERB	19	ccomp
25	?	PUNCT	10	punct
26	"	PUNCT	10	punct