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 text: Institut lékařské regenerace a kosmetiky MUDr. Leoše Středy čeká na oficiální rozhodnutí ministerstva zdravotnictví, Ústav lékařské kosmetiky v Praze sice permanentní make-up uvádí v propagačním letáku a vlastní potřebné přístroje, nicméně tuto službu zatím také neposkytuje.
Position	Tokenization	UPOS	Head	Deprel
1	Institut	NOUN	10	nsubj
2	lékařské	ADJ	3	amod
3	regenerace	NOUN	1	nmod
4	a	CCONJ	5	cc
5	kosmetiky	NOUN	3	conj
6	MUDr	NOUN	8	nmod
7	.	PUNCT	6	punct
8	Leoše	PROPN	1	nmod
9	Středy	PROPN	8	flat
10	čeká	VERB	0	root
11	na	ADP	13	case
12	oficiální	ADJ	13	amod
13	rozhodnutí	NOUN	10	obl:arg
14	ministerstva	NOUN	13	nmod
15	zdravotnictví	NOUN	14	nmod
16	,	PUNCT	27	punct
17	Ústav	NOUN	27	nsubj
18	lékařské	ADJ	19	amod
19	kosmetiky	NOUN	17	nmod
20	v	ADP	21	case
21	Praze	PROPN	19	nmod
22	sice	ADV	27	cc
23	permanentní	ADJ	24	amod
24	make	ADJ	27	obj
25	-	PUNCT	24	punct
26	up	NOUN	24	flat:foreign
27	uvádí	VERB	10	conj
28	v	ADP	30	case
29	propagačním	ADJ	30	amod
30	letáku	NOUN	27	obl
31	a	CCONJ	32	cc
32	vlastní	VERB	27	conj
33	potřebné	ADJ	34	amod
34	přístroje	NOUN	32	obj
35	,	PUNCT	41	punct
36	nicméně	CCONJ	41	cc
37	tuto	DET	38	det
38	službu	NOUN	41	obj
39	zatím	ADV	41	advmod
40	také	ADV	41	advmod
41	neposkytuje	VERB	27	conj
42	.	PUNCT	10	punct