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:
Místopředseda sněmovny Jan Kasal (KDU-ČSL) uvedl pro LN, že s nesnázemi přijímá skutečnost, když někdo během rozehrané partie mění pravidla hry.
Postion	Tokenization
1	Místopředseda
2	sněmovny
3	Jan
4	Kasal
5	(
6	KDU
7	-
8	ČSL
9	)
10	uvedl
11	pro
12	LN
13	,
14	že
15	s
16	nesnázemi
17	přijímá
18	skutečnost
19	,
20	když
21	někdo
22	během
23	rozehrané
24	partie
25	mění
26	pravidla
27	hry
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Místopředseda	NOUN	10	nsubj
2	sněmovny	NOUN	1	nmod
3	Jan	PROPN	1	flat
4	Kasal	PROPN	1	flat
5	(	PUNCT	6	punct
6	KDU	PROPN	1	dep
7	-	PUNCT	8	punct
8	ČSL	PROPN	6	conj
9	)	PUNCT	6	punct
10	uvedl	VERB	0	root
11	pro	ADP	12	case
12	LN	PROPN	10	obl
13	,	PUNCT	17	punct
14	že	SCONJ	17	mark
15	s	ADP	16	case
16	nesnázemi	NOUN	17	obl
17	přijímá	VERB	10	ccomp
18	skutečnost	NOUN	17	obj
19	,	PUNCT	25	punct
20	když	SCONJ	25	mark
21	někdo	PRON	25	nsubj
22	během	ADP	24	case
23	rozehrané	ADJ	24	amod
24	partie	NOUN	25	obl
25	mění	VERB	18	acl
26	pravidla	NOUN	25	obj
27	hry	NOUN	26	nmod
28	.	PUNCT	10	punct