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:
79% lékařů a 69% středního zdravotnického personálu (SZP) souhlasí s koncepcí nového systému péče o zdraví, avšak 40% (71% SZP) Návrh nového systému zdravotní péče nezná.
Postion	Tokenization
1	79
2	%
3	lékařů
4	a
5	69
6	%
7	středního
8	zdravotnického
9	personálu
10	(
11	SZP
12	)
13	souhlasí
14	s
15	koncepcí
16	nového
17	systému
18	péče
19	o
20	zdraví
21	,
22	avšak
23	40
24	%
25	(
26	71
27	%
28	SZP
29	)
30	Návrh
31	nového
32	systému
33	zdravotní
34	péče
35	nezná
36	.
Position	Tokenization	UPOS	Head	Deprel
1	79	NUM	13	nsubj
2	%	SYM	1	nmod
3	lékařů	NOUN	2	nmod
4	a	CCONJ	5	cc
5	69	NUM	1	conj
6	%	SYM	5	nmod
7	středního	ADJ	9	amod
8	zdravotnického	ADJ	9	amod
9	personálu	NOUN	6	nmod
10	(	PUNCT	11	punct
11	SZP	NOUN	9	appos
12	)	PUNCT	11	punct
13	souhlasí	VERB	0	root
14	s	ADP	15	case
15	koncepcí	NOUN	13	obl:arg
16	nového	ADJ	17	amod
17	systému	NOUN	15	nmod
18	péče	NOUN	17	nmod
19	o	ADP	20	case
20	zdraví	NOUN	18	nmod
21	,	PUNCT	35	punct
22	avšak	CCONJ	35	cc
23	40	NUM	35	nsubj
24	%	SYM	23	nmod
25	(	PUNCT	26	punct
26	71	NUM	35	dep
27	%	SYM	26	nmod
28	SZP	NOUN	27	nmod
29	)	PUNCT	26	punct
30	Návrh	NOUN	35	obj
31	nového	ADJ	32	amod
32	systému	NOUN	30	nmod
33	zdravotní	ADJ	34	amod
34	péče	NOUN	32	nmod
35	nezná	VERB	13	conj
36	.	PUNCT	13	punct