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:
"Škoda je i zkušeného Čermáka, Hynka jsem vůbec nepoznal a o Vígerovi jsem od prvního dne věděl, že odejde, proto jsem s ním nijak nepočítal," říká Jiří Novák.
Postion	Tokenization
1	"
2	Škoda
3	je
4	i
5	zkušeného
6	Čermáka
7	,
8	Hynka
9	jsem
10	vůbec
11	nepoznal
12	a
13	o
14	Vígerovi
15	jsem
16	od
17	prvního
18	dne
19	věděl
20	,
21	že
22	odejde
23	,
24	proto
25	jsem
26	s
27	ním
28	nijak
29	nepočítal
30	,
31	"
32	říká
33	Jiří
34	Novák
35	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Škoda	NOUN	3	obl
3	je	VERB	32	ccomp
4	i	CCONJ	6	advmod:emph
5	zkušeného	ADJ	6	amod
6	Čermáka	PROPN	2	nmod
7	,	PUNCT	11	punct
8	Hynka	PROPN	11	obj
9	jsem	AUX	11	aux
10	vůbec	ADV	11	advmod:emph
11	nepoznal	VERB	3	conj
12	a	CCONJ	19	cc
13	o	ADP	14	case
14	Vígerovi	PROPN	19	obl:arg
15	jsem	AUX	19	aux
16	od	ADP	18	case
17	prvního	ADJ	18	amod
18	dne	NOUN	19	obl
19	věděl	VERB	3	conj
20	,	PUNCT	22	punct
21	že	SCONJ	22	mark
22	odejde	VERB	19	ccomp
23	,	PUNCT	29	punct
24	proto	CCONJ	29	cc
25	jsem	AUX	29	aux
26	s	ADP	27	case
27	ním	PRON	29	obl:arg
28	nijak	ADV	29	advmod
29	nepočítal	VERB	19	conj
30	,	PUNCT	3	punct
31	"	PUNCT	3	punct
32	říká	VERB	0	root
33	Jiří	PROPN	32	nsubj
34	Novák	PROPN	33	flat
35	.	PUNCT	32	punct