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:
Jak ten má ale kvalitně ošetřovat, povídat si při tom s pacientem a mít krátkou objednací dobu, bude-li se k němu chtít přihlásit 5000 občanů?
Postion	Tokenization
1	Jak
2	ten
3	má
4	ale
5	kvalitně
6	ošetřovat
7	,
8	povídat
9	si
10	při
11	tom
12	s
13	pacientem
14	a
15	mít
16	krátkou
17	objednací
18	dobu
19	,
20	bude
21	-
22	li
23	se
24	k
25	němu
26	chtít
27	přihlásit
28	5000
29	občanů
30	?
Position	Tokenization	UPOS	Head	Deprel
1	Jak	ADV	3	advmod
2	ten	DET	3	nsubj
3	má	VERB	0	root
4	ale	CCONJ	3	cc
5	kvalitně	ADV	6	advmod
6	ošetřovat	VERB	3	xcomp
7	,	PUNCT	8	punct
8	povídat	VERB	6	conj
9	si	PRON	8	expl:pv
10	při	ADP	11	case
11	tom	DET	8	obl
12	s	ADP	13	case
13	pacientem	NOUN	8	obl:arg
14	a	CCONJ	15	cc
15	mít	VERB	6	conj
16	krátkou	ADJ	18	amod
17	objednací	ADJ	18	amod
18	dobu	NOUN	15	obj
19	,	PUNCT	22	punct
20	bude	AUX	26	aux
21	-	PUNCT	22	punct
22	li	PART	3	iobj
23	se	PRON	27	obj
24	k	ADP	25	case
25	němu	PRON	27	obl
26	chtít	VERB	22	advcl
27	přihlásit	VERB	26	xcomp
28	5000	NUM	29	nummod:gov
29	občanů	NOUN	26	nsubj
30	?	PUNCT	3	punct