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 cukrovaru se na pražské burze naposledy prodávaly za 253 korun, jejich nejnižší kurs v uplynulém roce byl 239 a nejvyšší 550 korun za akcii.
Postion	Tokenization
1	Akcie
2	cukrovaru
3	se
4	na
5	pražské
6	burze
7	naposledy
8	prodávaly
9	za
10	253
11	korun
12	,
13	jejich
14	nejnižší
15	kurs
16	v
17	uplynulém
18	roce
19	byl
20	239
21	_
22	a
23	nejvyšší
24	550
25	korun
26	za
27	akcii
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Akcie	NOUN	8	nsubj:pass
2	cukrovaru	NOUN	1	nmod
3	se	PRON	8	expl:pass
4	na	ADP	6	case
5	pražské	ADJ	6	amod
6	burze	NOUN	8	obl
7	naposledy	ADV	8	advmod
8	prodávaly	VERB	0	root
9	za	ADP	11	case
10	253	NUM	11	nummod:gov
11	korun	NOUN	8	obl
12	,	PUNCT	20	punct
13	jejich	DET	15	det
14	nejnižší	ADJ	15	amod
15	kurs	NOUN	20	nsubj
16	v	ADP	18	case
17	uplynulém	ADJ	18	amod
18	roce	NOUN	15	nmod
19	byl	AUX	20	cop
20	239	NUM	8	conj
21	_	_	None	_
22	a	CCONJ	22	cc
23	nejvyšší	ADJ	20	conj
24	550	NUM	24	nummod:gov
25	korun	NOUN	22	orphan
26	za	ADP	26	case
27	akcii	NOUN	24	nmod
28	.	PUNCT	8	punct