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:
Cusani byl odsouzen také k pokutě 16 milionů lir a k náhradě škody ve výši skoro 170 miliard lir, kterou způsobil společnosti Montedison.
Postion	Tokenization
1	Cusani
2	byl
3	odsouzen
4	také
5	k
6	pokutě
7	16
8	milionů
9	lir
10	a
11	k
12	náhradě
13	škody
14	ve
15	výši
16	skoro
17	170
18	miliard
19	lir
20	,
21	kterou
22	způsobil
23	společnosti
24	Montedison
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Cusani	PROPN	3	nsubj:pass
2	byl	AUX	3	aux:pass
3	odsouzen	ADJ	0	root
4	také	ADV	6	advmod:emph
5	k	ADP	6	case
6	pokutě	NOUN	3	obl:arg
7	16	NUM	8	nummod:gov
8	milionů	NOUN	9	nmod
9	lir	NOUN	6	nmod
10	a	CCONJ	12	cc
11	k	ADP	12	case
12	náhradě	NOUN	6	conj
13	škody	NOUN	12	nmod
14	ve	ADP	15	case
15	výši	NOUN	13	nmod
16	skoro	ADV	19	advmod
17	170	NUM	18	nummod:gov
18	miliard	NOUN	19	nmod
19	lir	NOUN	15	nmod
20	,	PUNCT	22	punct
21	kterou	DET	22	obj
22	způsobil	VERB	13	acl:relcl
23	společnosti	NOUN	22	obl:arg
24	Montedison	PROPN	23	nmod
25	.	PUNCT	3	punct