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 text: Škody za sto milionů lir (přes 60000 dolarů) musí nahradit rodiny šesti školáků z italského Salerna, kteří se minulou sobotu pokusili netradičním způsobem zahladit stopy po nevydařené písemce z matematiky jednoho z nich.
Position	Tokenization	UPOS	Head	Deprel
1	Škody	NOUN	12	obj
2	za	ADP	3	case
3	sto	NOUN	1	nmod
4	milionů	NOUN	3	nmod
5	lir	NOUN	4	nmod
6	(	PUNCT	9	punct
7	přes	ADP	9	case
8	60000	NUM	9	nummod:gov
9	dolarů	NOUN	3	appos
10	)	PUNCT	9	punct
11	musí	VERB	0	root
12	nahradit	VERB	11	xcomp
13	rodiny	NOUN	11	nsubj
14	šesti	NUM	15	nummod
15	školáků	NOUN	13	nmod
16	z	ADP	18	case
17	italského	ADJ	18	amod
18	Salerna	PROPN	15	nmod
19	,	PUNCT	24	punct
20	kteří	DET	24	nsubj
21	se	PRON	24	expl:pv
22	minulou	ADJ	23	amod
23	sobotu	NOUN	24	obl
24	pokusili	VERB	15	acl:relcl
25	netradičním	ADJ	26	amod
26	způsobem	NOUN	24	obl
27	zahladit	VERB	24	xcomp
28	stopy	NOUN	27	obj
29	po	ADP	31	case
30	nevydařené	ADJ	31	amod
31	písemce	NOUN	28	nmod
32	z	ADP	33	case
33	matematiky	NOUN	31	nmod
34	jednoho	NUM	31	nummod
35	z	ADP	36	case
36	nich	PRON	34	nmod
37	.	PUNCT	11	punct