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:
Pacienti s ekzémy, lupenkou, bradavicemi a jinými kožními chorobami budou ošetřeni koupelemi, ozařováním, akupunkturou či jinými netradičními způsoby zhruba za jednu hodinu.
Postion	Tokenization
1	Pacienti
2	s
3	ekzémy
4	,
5	lupenkou
6	,
7	bradavicemi
8	a
9	jinými
10	kožními
11	chorobami
12	budou
13	ošetřeni
14	koupelemi
15	,
16	ozařováním
17	,
18	akupunkturou
19	či
20	jinými
21	netradičními
22	způsoby
23	zhruba
24	za
25	jednu
26	hodinu
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Pacienti	NOUN	13	nsubj:pass
2	s	ADP	3	case
3	ekzémy	NOUN	1	nmod
4	,	PUNCT	5	punct
5	lupenkou	NOUN	3	conj
6	,	PUNCT	7	punct
7	bradavicemi	NOUN	3	conj
8	a	CCONJ	11	cc
9	jinými	ADJ	11	amod
10	kožními	ADJ	11	amod
11	chorobami	NOUN	3	conj
12	budou	AUX	13	aux:pass
13	ošetřeni	ADJ	0	root
14	koupelemi	NOUN	13	obl
15	,	PUNCT	16	punct
16	ozařováním	NOUN	14	conj
17	,	PUNCT	18	punct
18	akupunkturou	NOUN	14	conj
19	či	CCONJ	22	cc
20	jinými	ADJ	22	amod
21	netradičními	ADJ	22	amod
22	způsoby	NOUN	14	conj
23	zhruba	ADV	26	advmod:emph
24	za	ADP	26	case
25	jednu	NUM	26	nummod
26	hodinu	NOUN	13	obl
27	.	PUNCT	13	punct