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:
Škody za více než 2.2 miliónu korun už letos způsobili na církevních památkách zloději, kteří vykradli 63 kostelů a kaplí v západních Čechách.
Postion	Tokenization
1	Škody
2	za
3	více
4	než
5	2.2
6	miliónu
7	korun
8	už
9	letos
10	způsobili
11	na
12	církevních
13	památkách
14	zloději
15	,
16	kteří
17	vykradli
18	63
19	kostelů
20	a
21	kaplí
22	v
23	západních
24	Čechách
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Škody	NOUN	10	obj
2	za	ADP	3	case
3	více	ADV	1	advmod
4	než	SCONJ	6	mark
5	2.2	NUM	6	nummod:gov
6	miliónu	NOUN	3	obl
7	korun	NOUN	6	nmod
8	už	ADV	10	advmod
9	letos	ADV	10	advmod
10	způsobili	VERB	0	root
11	na	ADP	13	case
12	církevních	ADJ	13	amod
13	památkách	NOUN	10	obl
14	zloději	NOUN	10	nsubj
15	,	PUNCT	17	punct
16	kteří	DET	17	nsubj
17	vykradli	VERB	14	acl:relcl
18	63	NUM	19	nummod:gov
19	kostelů	NOUN	17	obj
20	a	CCONJ	21	cc
21	kaplí	NOUN	19	conj
22	v	ADP	24	case
23	západních	ADJ	24	amod
24	Čechách	PROPN	19	nmod
25	.	PUNCT	10	punct