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:
Slavný houslista Zino Francescatti, narozený v Marseilles jako syn francouzského houslisty italského původu, zemřel ve věku 89 let ve svém rodném kraji.
Postion	Tokenization
1	Slavný
2	houslista
3	Zino
4	Francescatti
5	,
6	narozený
7	v
8	Marseilles
9	jako
10	syn
11	francouzského
12	houslisty
13	italského
14	původu
15	,
16	zemřel
17	ve
18	věku
19	89
20	let
21	ve
22	svém
23	rodném
24	kraji
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Slavný	ADJ	2	amod
2	houslista	NOUN	16	nsubj
3	Zino	PROPN	2	nmod
4	Francescatti	PROPN	3	flat
5	,	PUNCT	6	punct
6	narozený	ADJ	2	amod
7	v	ADP	8	case
8	Marseilles	PROPN	6	obl
9	jako	SCONJ	10	mark
10	syn	NOUN	2	xcomp
11	francouzského	ADJ	12	amod
12	houslisty	NOUN	10	nmod
13	italského	ADJ	14	amod
14	původu	NOUN	12	nmod
15	,	PUNCT	2	punct
16	zemřel	VERB	0	root
17	ve	ADP	18	case
18	věku	NOUN	16	obl
19	89	NUM	20	nummod
20	let	NOUN	18	nmod
21	ve	ADP	24	case
22	svém	DET	24	det
23	rodném	ADJ	24	amod
24	kraji	NOUN	16	obl
25	.	PUNCT	16	punct