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:
Ti lékaři, kteří pracují bez zastavení (a tedy bez prostojů) mohou být příčinou dlouhého čekání svých pacientů, protože si předem objednávají více nemocných, než pak jsou schopni (následkem nejrůznějších zdržení) v daném čase zvládnout.
Postion	Tokenization
1	Ti
2	lékaři
3	,
4	kteří
5	pracují
6	bez
7	zastavení
8	(
9	a
10	tedy
11	bez
12	prostojů
13	)
14	mohou
15	být
16	příčinou
17	dlouhého
18	čekání
19	svých
20	pacientů
21	,
22	protože
23	si
24	předem
25	objednávají
26	více
27	nemocných
28	,
29	než
30	pak
31	jsou
32	schopni
33	(
34	následkem
35	nejrůznějších
36	zdržení
37	)
38	v
39	daném
40	čase
41	zvládnout
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Ti	DET	2	det
2	lékaři	NOUN	14	nsubj
3	,	PUNCT	5	punct
4	kteří	DET	5	nsubj
5	pracují	VERB	2	acl:relcl
6	bez	ADP	7	case
7	zastavení	NOUN	5	obl
8	(	PUNCT	12	punct
9	a	CCONJ	12	cc
10	tedy	ADV	12	cc
11	bez	ADP	12	case
12	prostojů	NOUN	7	appos
13	)	PUNCT	12	punct
14	mohou	VERB	0	root
15	být	AUX	16	cop
16	příčinou	NOUN	14	xcomp
17	dlouhého	ADJ	18	amod
18	čekání	NOUN	16	nmod
19	svých	DET	20	det
20	pacientů	NOUN	18	nmod
21	,	PUNCT	25	punct
22	protože	SCONJ	25	mark
23	si	PRON	25	obl
24	předem	ADV	25	advmod
25	objednávají	VERB	14	advcl
26	více	ADV	25	obj
27	nemocných	NOUN	26	nmod
28	,	PUNCT	32	punct
29	než	SCONJ	32	mark
30	pak	ADV	32	advmod
31	jsou	AUX	32	cop
32	schopni	ADJ	26	advcl
33	(	PUNCT	36	punct
34	následkem	NOUN	36	case
35	nejrůznějších	ADJ	36	amod
36	zdržení	NOUN	32	obl
37	)	PUNCT	36	punct
38	v	ADP	40	case
39	daném	ADJ	40	amod
40	čase	NOUN	32	obl
41	zvládnout	VERB	32	xcomp
42	.	PUNCT	14	punct