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:
Zdravotní stav pětinásobného mistra světa formule 1 Juana Manuela Fangia (83 let) z Argentiny se zlepšil a podle jeho osobního asistenta Ricarda Rosse není v nebezpečí života.
Postion	Tokenization
1	Zdravotní
2	stav
3	pětinásobného
4	mistra
5	světa
6	formule
7	1
8	Juana
9	Manuela
10	Fangia
11	(
12	83
13	let
14	)
15	z
16	Argentiny
17	se
18	zlepšil
19	a
20	podle
21	jeho
22	osobního
23	asistenta
24	Ricarda
25	Rosse
26	není
27	v
28	nebezpečí
29	života
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Zdravotní	ADJ	2	amod
2	stav	NOUN	18	nsubj
3	pětinásobného	ADJ	4	amod
4	mistra	NOUN	2	nmod
5	světa	NOUN	4	nmod
6	formule	NOUN	4	nmod
7	1	NUM	6	nummod
8	Juana	PROPN	4	flat
9	Manuela	PROPN	4	flat
10	Fangia	PROPN	4	flat
11	(	PUNCT	4	punct
12	83	NUM	13	nummod:gov
13	let	NOUN	4	dep
14	)	PUNCT	4	punct
15	z	ADP	16	case
16	Argentiny	PROPN	4	nmod
17	se	PRON	18	expl:pv
18	zlepšil	VERB	0	root
19	a	CCONJ	26	cc
20	podle	ADP	23	case
21	jeho	DET	23	det
22	osobního	ADJ	23	amod
23	asistenta	NOUN	26	obl
24	Ricarda	PROPN	23	flat
25	Rosse	PROPN	23	flat
26	není	VERB	18	conj
27	v	ADP	28	case
28	nebezpečí	NOUN	26	obl
29	života	NOUN	28	nmod
30	.	PUNCT	18	punct