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: Sám prezident Itamar Franco, který zesnulému jezdci udělil nejvyšší státní vyznamenání ,Národní řád za zásluhy in memoriam, v telefonickém rozhovoru se svým italským protějškem Luigim Scalfarem požádal o urychlení zákonem předepsaných procedur.
Position	Tokenization	UPOS	Head	Deprel
1	Sám	DET	2	xcomp
2	prezident	NOUN	30	nsubj
3	Itamar	PROPN	2	flat
4	Franco	PROPN	2	flat
5	,	PUNCT	9	punct
6	který	DET	9	nsubj
7	zesnulému	ADJ	8	amod
8	jezdci	NOUN	9	obl:arg
9	udělil	VERB	2	acl:relcl
10	nejvyšší	ADJ	12	amod
11	státní	ADJ	12	amod
12	vyznamenání	NOUN	9	obj
13	,	PUNCT	15	punct
14	Národní	ADJ	15	amod
15	řád	NOUN	12	appos
16	za	ADP	17	case
17	zásluhy	NOUN	15	nmod
18	in	ADP	15	advmod
19	memoriam	ADV	18	fixed
20	,	PUNCT	9	punct
21	v	ADP	23	case
22	telefonickém	ADJ	23	amod
23	rozhovoru	NOUN	30	obl
24	se	ADP	28	case
25	svým	DET	27	det
26	italským	ADJ	27	amod
27	protějškem	NOUN	28	nmod
28	Luigim	PROPN	23	nmod
29	Scalfarem	PROPN	28	flat
30	požádal	VERB	0	root
31	o	ADP	32	case
32	urychlení	NOUN	30	obl:arg
33	zákonem	NOUN	34	obl
34	předepsaných	ADJ	35	amod
35	procedur	NOUN	32	nmod
36	.	PUNCT	30	punct