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:
Za uplynulý rok jej získal J. P. Papin z Olympique Marseille, ale v první desítce jsou překvapivě jen dva fotbalisté z nejvíce ceněné ligové soutěže světa - z Itálie.
Postion	Tokenization
1	Za
2	uplynulý
3	rok
4	jej
5	získal
6	J
7	.
8	P
9	.
10	Papin
11	z
12	Olympique
13	Marseille
14	,
15	ale
16	v
17	první
18	desítce
19	jsou
20	překvapivě
21	jen
22	dva
23	fotbalisté
24	z
25	nejvíce
26	ceněné
27	ligové
28	soutěže
29	světa
30	-
31	z
32	Itálie
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Za	ADP	3	case
2	uplynulý	ADJ	3	amod
3	rok	NOUN	5	obl
4	jej	PRON	5	obj
5	získal	VERB	0	root
6	J	PROPN	5	nsubj
7	.	PUNCT	6	punct
8	P	PROPN	6	flat
9	.	PUNCT	8	punct
10	Papin	PROPN	6	flat
11	z	ADP	12	case
12	Olympique	PROPN	6	nmod
13	Marseille	PROPN	12	nmod
14	,	PUNCT	19	punct
15	ale	CCONJ	19	cc
16	v	ADP	18	case
17	první	ADJ	18	amod
18	desítce	NOUN	19	obl
19	jsou	VERB	5	conj
20	překvapivě	ADV	19	advmod
21	jen	PART	22	advmod:emph
22	dva	NUM	23	nummod
23	fotbalisté	NOUN	19	nsubj
24	z	ADP	28	case
25	nejvíce	ADV	26	advmod
26	ceněné	ADJ	28	amod
27	ligové	ADJ	28	amod
28	soutěže	NOUN	23	nmod
29	světa	NOUN	28	nmod
30	-	PUNCT	32	punct
31	z	ADP	32	case
32	Itálie	PROPN	28	appos
33	.	PUNCT	5	punct