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:
Společnost zaměstnává praktické a zubní lékaře, sestry i laboranty a má uzavřenou smlouvu s pěti zdravotními pojišťovnami, takže středisko může poskytovat služby obyvatelům celého příhraničního regionu.
Postion	Tokenization
1	Společnost
2	zaměstnává
3	praktické
4	a
5	zubní
6	lékaře
7	,
8	sestry
9	i
10	laboranty
11	a
12	má
13	uzavřenou
14	smlouvu
15	s
16	pěti
17	zdravotními
18	pojišťovnami
19	,
20	takže
21	středisko
22	může
23	poskytovat
24	služby
25	obyvatelům
26	celého
27	příhraničního
28	regionu
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Společnost	NOUN	2	nsubj
2	zaměstnává	VERB	0	root
3	praktické	ADJ	6	amod
4	a	CCONJ	5	cc
5	zubní	ADJ	3	conj
6	lékaře	NOUN	2	obj
7	,	PUNCT	8	punct
8	sestry	NOUN	6	conj
9	i	CCONJ	10	cc
10	laboranty	NOUN	6	conj
11	a	CCONJ	12	cc
12	má	VERB	2	conj
13	uzavřenou	ADJ	14	xcomp
14	smlouvu	NOUN	12	obj
15	s	ADP	18	case
16	pěti	NUM	18	nummod
17	zdravotními	ADJ	18	amod
18	pojišťovnami	NOUN	13	obl:arg
19	,	PUNCT	22	punct
20	takže	SCONJ	22	mark
21	středisko	NOUN	22	nsubj
22	může	VERB	2	advcl
23	poskytovat	VERB	22	xcomp
24	služby	NOUN	23	obj
25	obyvatelům	NOUN	23	obl:arg
26	celého	ADJ	28	amod
27	příhraničního	ADJ	28	amod
28	regionu	NOUN	25	nmod
29	.	PUNCT	2	punct