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:
Škoda za 305000 korun zůstala po zatím nezjištěném pachateli, který se na konci minulého týdne vloupal do římskokatolického kostela v Lešné na Vsetínsku.
Postion	Tokenization
1	Škoda
2	za
3	305000
4	korun
5	zůstala
6	po
7	zatím
8	nezjištěném
9	pachateli
10	,
11	který
12	se
13	na
14	konci
15	minulého
16	týdne
17	vloupal
18	do
19	římskokatolického
20	kostela
21	v
22	Lešné
23	na
24	Vsetínsku
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Škoda	NOUN	5	nsubj
2	za	ADP	4	case
3	305000	NUM	4	nummod:gov
4	korun	NOUN	1	nmod
5	zůstala	VERB	0	root
6	po	ADP	9	case
7	zatím	ADV	8	advmod
8	nezjištěném	ADJ	9	amod
9	pachateli	NOUN	5	obl
10	,	PUNCT	17	punct
11	který	DET	17	nsubj
12	se	PRON	17	expl:pv
13	na	ADP	14	case
14	konci	NOUN	17	obl
15	minulého	ADJ	16	amod
16	týdne	NOUN	14	nmod
17	vloupal	VERB	9	acl:relcl
18	do	ADP	20	case
19	římskokatolického	ADJ	20	amod
20	kostela	NOUN	17	obl
21	v	ADP	22	case
22	Lešné	PROPN	20	nmod
23	na	ADP	24	case
24	Vsetínsku	PROPN	22	nmod
25	.	PUNCT	5	punct