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:
Při svém čtvrtečním setkání s odborníky na zdravotnictví ve vile Amálie si prý Havel chtěl především ujasnit, proč tolik lékařů vytýká ministerstvu bezkoncepčnost.
Postion	Tokenization
1	Při
2	svém
3	čtvrtečním
4	setkání
5	s
6	odborníky
7	na
8	zdravotnictví
9	ve
10	vile
11	Amálie
12	si
13	prý
14	Havel
15	chtěl
16	především
17	ujasnit
18	,
19	proč
20	tolik
21	lékařů
22	vytýká
23	ministerstvu
24	bezkoncepčnost
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Při	ADP	4	case
2	svém	DET	4	det
3	čtvrtečním	ADJ	4	amod
4	setkání	NOUN	15	obl
5	s	ADP	6	case
6	odborníky	NOUN	4	nmod
7	na	ADP	8	case
8	zdravotnictví	NOUN	6	nmod
9	ve	ADP	10	case
10	vile	NOUN	4	nmod
11	Amálie	PROPN	10	nmod
12	si	PRON	17	obl:arg
13	prý	PART	15	advmod
14	Havel	PROPN	15	nsubj
15	chtěl	VERB	0	root
16	především	ADV	17	advmod:emph
17	ujasnit	VERB	15	xcomp
18	,	PUNCT	22	punct
19	proč	ADV	22	advmod
20	tolik	DET	21	det:numgov
21	lékařů	NOUN	22	nsubj
22	vytýká	VERB	17	ccomp
23	ministerstvu	NOUN	22	obl:arg
24	bezkoncepčnost	NOUN	22	obj
25	.	PUNCT	15	punct