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:
V Akronu v americkém státě Ohio zemřel již třetí ze šesti pacientů, o nichž se předpokládá, že se nakazili virem AIDS od dentisty, u kterého vyhledali ošetření chrupu.
Postion	Tokenization
1	V
2	Akronu
3	v
4	americkém
5	státě
6	Ohio
7	zemřel
8	již
9	třetí
10	ze
11	šesti
12	pacientů
13	,
14	o
15	nichž
16	se
17	předpokládá
18	,
19	že
20	se
21	nakazili
22	virem
23	AIDS
24	od
25	dentisty
26	,
27	u
28	kterého
29	vyhledali
30	ošetření
31	chrupu
32	.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Akronu	PROPN	7	obl
3	v	ADP	5	case
4	americkém	ADJ	5	amod
5	státě	NOUN	7	obl
6	Ohio	PROPN	5	nmod
7	zemřel	VERB	0	root
8	již	ADV	9	advmod:emph
9	třetí	ADJ	7	nsubj
10	ze	ADP	12	case
11	šesti	NUM	12	nummod
12	pacientů	NOUN	9	obl
13	,	PUNCT	17	punct
14	o	ADP	15	case
15	nichž	PRON	17	obl:arg
16	se	PRON	17	expl:pass
17	předpokládá	VERB	12	acl:relcl
18	,	PUNCT	21	punct
19	že	SCONJ	21	mark
20	se	PRON	21	expl:pv
21	nakazili	VERB	17	csubj:pass
22	virem	NOUN	21	obl
23	AIDS	NOUN	22	nmod
24	od	ADP	25	case
25	dentisty	NOUN	21	obl:arg
26	,	PUNCT	29	punct
27	u	ADP	28	case
28	kterého	DET	29	obl
29	vyhledali	VERB	25	acl:relcl
30	ošetření	NOUN	29	obj
31	chrupu	NOUN	30	nmod
32	.	PUNCT	7	punct