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:
Státní ocelářská společnost Ilva Laminati Piani, jedna ze součástí holdingu IRI, měla za loňský rok zisk 700 miliard lir (ITL), 437 miliónů USD.
Postion	Tokenization
1	Státní
2	ocelářská
3	společnost
4	Ilva
5	Laminati
6	Piani
7	,
8	jedna
9	ze
10	součástí
11	holdingu
12	IRI
13	,
14	měla
15	za
16	loňský
17	rok
18	zisk
19	700
20	miliard
21	lir
22	(
23	ITL
24	)
25	,
26	437
27	miliónů
28	USD
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Státní	ADJ	3	amod
2	ocelářská	ADJ	3	amod
3	společnost	NOUN	14	nsubj
4	Ilva	PROPN	3	nmod
5	Laminati	ADJ	4	flat:foreign
6	Piani	ADJ	5	flat:foreign
7	,	PUNCT	8	punct
8	jedna	NUM	3	appos
9	ze	ADP	10	case
10	součástí	NOUN	8	nmod
11	holdingu	NOUN	10	nmod
12	IRI	PROPN	11	nmod
13	,	PUNCT	8	punct
14	měla	VERB	0	root
15	za	ADP	17	case
16	loňský	ADJ	17	amod
17	rok	NOUN	14	obl
18	zisk	NOUN	14	obj
19	700	NUM	20	nummod:gov
20	miliard	NOUN	18	nmod
21	lir	NOUN	20	nmod
22	(	PUNCT	21	punct
23	ITL	NOUN	21	dep
24	)	PUNCT	21	punct
25	,	PUNCT	26	punct
26	437	NUM	27	nummod:gov
27	miliónů	NOUN	19	appos
28	USD	NOUN	27	nmod
29	.	PUNCT	14	punct