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:
Je logické, i když pro Čecha neradostné, že od příští sezóny hodlají lázeňská zařízení v Karlových Varech účtovat stejné ceny cizincům jako našincům.
Postion	Tokenization
1	Je
2	logické
3	,
4	i
5	když
6	pro
7	Čecha
8	neradostné
9	,
10	že
11	od
12	příští
13	sezóny
14	hodlají
15	lázeňská
16	zařízení
17	v
18	Karlových
19	Varech
20	účtovat
21	stejné
22	ceny
23	cizincům
24	jako
25	našincům
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Je	AUX	2	cop
2	logické	ADJ	0	root
3	,	PUNCT	8	punct
4	i	CCONJ	8	mark
5	když	SCONJ	4	fixed
6	pro	ADP	7	case
7	Čecha	PROPN	8	obl
8	neradostné	ADJ	2	dep
9	,	PUNCT	14	punct
10	že	SCONJ	14	mark
11	od	ADP	13	case
12	příští	ADJ	13	amod
13	sezóny	NOUN	14	obl
14	hodlají	VERB	2	csubj
15	lázeňská	ADJ	16	amod
16	zařízení	NOUN	14	nsubj
17	v	ADP	19	case
18	Karlových	ADJ	19	amod
19	Varech	PROPN	14	obl
20	účtovat	VERB	14	xcomp
21	stejné	ADJ	22	amod
22	ceny	NOUN	20	obj
23	cizincům	NOUN	20	obl:arg
24	jako	SCONJ	25	mark
25	našincům	NOUN	21	advcl
26	.	PUNCT	2	punct