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:
Akcie elektrárenské společnosti ČEZ, které jsou považovány za poměrně kvalitní, byly obchodovány na dolní hranici cenových rozpětí (727 korun) v objemu 436 tisíc Kč.
Postion	Tokenization
1	Akcie
2	elektrárenské
3	společnosti
4	ČEZ
5	,
6	které
7	jsou
8	považovány
9	za
10	poměrně
11	kvalitní
12	,
13	byly
14	obchodovány
15	na
16	dolní
17	hranici
18	cenových
19	rozpětí
20	(
21	727
22	korun
23	)
24	v
25	objemu
26	436
27	tisíc
28	Kč
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Akcie	NOUN	14	nsubj:pass
2	elektrárenské	ADJ	3	amod
3	společnosti	NOUN	1	nmod
4	ČEZ	PROPN	3	nmod
5	,	PUNCT	8	punct
6	které	DET	8	nsubj:pass
7	jsou	AUX	8	aux:pass
8	považovány	ADJ	1	amod
9	za	ADP	11	case
10	poměrně	ADV	11	advmod
11	kvalitní	ADJ	8	obl:arg
12	,	PUNCT	8	punct
13	byly	AUX	14	aux:pass
14	obchodovány	ADJ	0	root
15	na	ADP	17	case
16	dolní	ADJ	17	amod
17	hranici	NOUN	14	obl
18	cenových	ADJ	19	amod
19	rozpětí	NOUN	17	nmod
20	(	PUNCT	21	punct
21	727	NUM	22	nummod:gov
22	korun	NOUN	17	nmod
23	)	PUNCT	14	punct
24	v	ADP	25	case
25	objemu	NOUN	14	obl
26	436	NUM	25	nummod
27	tisíc	NUM	26	compound
28	Kč	NOUN	27	nmod
29	.	PUNCT	14	punct