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:
Kdo ví, jaké problémy mají dnes s nimi (ale také s jednoduššími ozdobami) i naše koloraturní sopranistky, pochopí, jak všestrannou zpěvačkou Eva Urbanová je.
Postion	Tokenization
1	Kdo
2	ví
3	,
4	jaké
5	problémy
6	mají
7	dnes
8	s
9	nimi
10	(
11	ale
12	také
13	s
14	jednoduššími
15	ozdobami
16	)
17	i
18	naše
19	koloraturní
20	sopranistky
21	,
22	pochopí
23	,
24	jak
25	všestrannou
26	zpěvačkou
27	Eva
28	Urbanová
29	je
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Kdo	PRON	2	nsubj
2	ví	VERB	22	csubj
3	,	PUNCT	6	punct
4	jaké	DET	5	det
5	problémy	NOUN	6	obj
6	mají	VERB	2	ccomp
7	dnes	ADV	6	advmod
8	s	ADP	9	case
9	nimi	PRON	6	obl
10	(	PUNCT	15	punct
11	ale	CCONJ	15	cc
12	také	ADV	15	advmod:emph
13	s	ADP	15	case
14	jednoduššími	ADJ	15	amod
15	ozdobami	NOUN	9	conj
16	)	PUNCT	15	punct
17	i	CCONJ	20	advmod:emph
18	naše	DET	20	det
19	koloraturní	ADJ	20	amod
20	sopranistky	NOUN	6	nsubj
21	,	PUNCT	2	punct
22	pochopí	VERB	0	root
23	,	PUNCT	26	punct
24	jak	ADV	25	advmod
25	všestrannou	ADJ	26	amod
26	zpěvačkou	NOUN	22	ccomp
27	Eva	PROPN	26	nsubj
28	Urbanová	PROPN	27	flat
29	je	AUX	26	cop
30	.	PUNCT	22	punct