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 text: "I když vezmeme v úvahu, že česká měna má velmi dobrý zvuk a že ČR je proslulá i dobrými odborníky, přesto jsou akcie českých podniků ve srovnání se zahraničím stále vysoce nadhodnoceny," říká Petr Kysel a dodává, že nejvíce se to týká akcií bank.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	35	punct
2	I	CCONJ	4	mark
3	když	SCONJ	2	fixed
4	vezmeme	VERB	35	advcl
5	v	ADP	6	case
6	úvahu	NOUN	4	obl:arg
7	,	PUNCT	11	punct
8	že	SCONJ	11	mark
9	česká	ADJ	10	amod
10	měna	NOUN	11	nsubj
11	má	VERB	4	ccomp
12	velmi	ADV	13	advmod
13	dobrý	ADJ	14	amod
14	zvuk	NOUN	11	obj
15	a	CCONJ	19	cc
16	že	SCONJ	19	mark
17	ČR	PROPN	19	nsubj
18	je	AUX	19	cop
19	proslulá	ADJ	11	conj
20	i	CCONJ	22	advmod:emph
21	dobrými	ADJ	22	amod
22	odborníky	NOUN	19	obl
23	,	PUNCT	4	punct
24	přesto	ADV	35	advmod
25	jsou	AUX	35	cop
26	akcie	NOUN	35	nsubj
27	českých	ADJ	28	amod
28	podniků	NOUN	26	nmod
29	ve	ADP	32	case
30	srovnání	NOUN	29	fixed
31	se	ADP	29	fixed
32	zahraničím	NOUN	35	obl
33	stále	ADV	35	advmod
34	vysoce	ADV	35	advmod
35	nadhodnoceny	ADJ	38	ccomp
36	,	PUNCT	35	punct
37	"	PUNCT	35	punct
38	říká	VERB	0	root
39	Petr	PROPN	38	nsubj
40	Kysel	PROPN	39	flat
41	a	CCONJ	42	cc
42	dodává	VERB	38	conj
43	,	PUNCT	48	punct
44	že	SCONJ	48	mark
45	nejvíce	ADV	48	advmod
46	se	PRON	48	expl:pv
47	to	DET	48	nsubj
48	týká	VERB	42	ccomp
49	akcií	NOUN	48	obl:arg
50	bank	NOUN	49	nmod
51	.	PUNCT	38	punct