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:
Dentista David Acer z Jensen Beach na Floridě zjistil v roce 1986, že je nakažen virem HIV, a o rok později se u něho projevily symptomy choroby AIDS.
Postion	Tokenization
1	Dentista
2	David
3	Acer
4	z
5	Jensen
6	Beach
7	na
8	Floridě
9	zjistil
10	v
11	roce
12	1986
13	,
14	že
15	je
16	nakažen
17	virem
18	HIV
19	,
20	a
21	o
22	rok
23	později
24	se
25	u
26	něho
27	projevily
28	symptomy
29	choroby
30	AIDS
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Dentista	NOUN	9	nsubj
2	David	PROPN	1	flat
3	Acer	PROPN	1	flat
4	z	ADP	6	case
5	Jensen	ADJ	6	amod
6	Beach	PROPN	1	nmod
7	na	ADP	8	case
8	Floridě	PROPN	6	nmod
9	zjistil	VERB	0	root
10	v	ADP	11	case
11	roce	NOUN	9	obl
12	1986	NUM	11	nummod
13	,	PUNCT	16	punct
14	že	SCONJ	16	mark
15	je	AUX	16	cop
16	nakažen	ADJ	9	ccomp
17	virem	NOUN	16	obl
18	HIV	NOUN	17	nmod
19	,	PUNCT	16	punct
20	a	CCONJ	27	cc
21	o	ADP	22	case
22	rok	NOUN	23	obl
23	později	ADV	27	advmod
24	se	PRON	27	expl:pv
25	u	ADP	26	case
26	něho	PRON	27	obl
27	projevily	VERB	9	conj
28	symptomy	NOUN	27	nsubj
29	choroby	NOUN	28	nmod
30	AIDS	NOUN	29	nmod
31	.	PUNCT	9	punct