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:
Podle místopředsedy ODA Karla Ledvinky má mít exekutiva oprávnění k tomu, aby v případě, kdy parlament není schopen se sejít, přijímala rozhodnutí o síle zákona.
Postion	Tokenization
1	Podle
2	místopředsedy
3	ODA
4	Karla
5	Ledvinky
6	má
7	mít
8	exekutiva
9	oprávnění
10	k
11	tomu
12	,
13	aby
14	aby
15	by
16	v
17	případě
18	,
19	kdy
20	parlament
21	není
22	schopen
23	se
24	sejít
25	,
26	přijímala
27	rozhodnutí
28	o
29	síle
30	zákona
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	místopředsedy	NOUN	6	obl
3	ODA	PROPN	2	nmod
4	Karla	PROPN	2	flat
5	Ledvinky	PROPN	2	flat
6	má	VERB	0	root
7	mít	VERB	6	xcomp
8	exekutiva	NOUN	6	nsubj
9	oprávnění	NOUN	7	obj
10	k	ADP	11	case
11	tomu	DET	9	det
12	,	PUNCT	25	punct
13	aby	_	None	_
14	aby	SCONJ	25	mark
15	by	AUX	25	aux
16	v	ADP	16	case
17	případě	NOUN	25	obl
18	,	PUNCT	21	punct
19	kdy	ADV	21	advmod
20	parlament	NOUN	21	nsubj
21	není	AUX	21	cop
22	schopen	ADJ	16	acl:relcl
23	se	PRON	23	expl:pv
24	sejít	VERB	21	xcomp
25	,	PUNCT	21	punct
26	přijímala	VERB	11	acl
27	rozhodnutí	NOUN	25	obj
28	o	ADP	28	case
29	síle	NOUN	26	nmod
30	zákona	NOUN	28	nmod
31	.	PUNCT	6	punct