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:
"Dosud prováděné odhady odborníky ČSÚ mají po porovnání s později získanými definitivními výsledky zpravidla dobrou kvalitu, která odpovídá požadovanému účelu," tvrdí J. Fischer.
Postion	Tokenization
1	"
2	Dosud
3	prováděné
4	odhady
5	odborníky
6	ČSÚ
7	mají
8	po
9	porovnání
10	s
11	později
12	získanými
13	definitivními
14	výsledky
15	zpravidla
16	dobrou
17	kvalitu
18	,
19	která
20	odpovídá
21	požadovanému
22	účelu
23	,
24	"
25	tvrdí
26	J
27	.
28	Fischer
29	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Dosud	ADV	3	advmod
3	prováděné	ADJ	4	amod
4	odhady	NOUN	7	nsubj
5	odborníky	NOUN	3	obl:arg
6	ČSÚ	PROPN	5	nmod
7	mají	VERB	25	ccomp
8	po	ADP	9	case
9	porovnání	NOUN	7	obl
10	s	ADP	14	case
11	později	ADV	12	advmod
12	získanými	ADJ	14	amod
13	definitivními	ADJ	14	amod
14	výsledky	NOUN	9	nmod
15	zpravidla	ADV	16	advmod
16	dobrou	ADJ	17	amod
17	kvalitu	NOUN	7	obj
18	,	PUNCT	20	punct
19	která	DET	20	nsubj
20	odpovídá	VERB	17	acl:relcl
21	požadovanému	ADJ	22	amod
22	účelu	NOUN	20	obl:arg
23	,	PUNCT	7	punct
24	"	PUNCT	7	punct
25	tvrdí	VERB	0	root
26	J	PROPN	25	nsubj
27	.	PUNCT	26	punct
28	Fischer	PROPN	26	flat
29	.	PUNCT	25	punct