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:
Podle Kašpera se prokázalo, že pacient nečekal na chodbě Homolky déle než 30 minut a lékař na příjmu se mezitím snažil sehnat dýchací přístroj.
Postion	Tokenization
1	Podle
2	Kašpera
3	se
4	prokázalo
5	,
6	že
7	pacient
8	nečekal
9	na
10	chodbě
11	Homolky
12	déle
13	než
14	30
15	minut
16	a
17	lékař
18	na
19	příjmu
20	se
21	mezitím
22	snažil
23	sehnat
24	dýchací
25	přístroj
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Kašpera	PROPN	4	obl
3	se	PRON	4	expl:pass
4	prokázalo	VERB	0	root
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	pacient	NOUN	8	nsubj
8	nečekal	VERB	4	csubj:pass
9	na	ADP	10	case
10	chodbě	NOUN	8	obl
11	Homolky	PROPN	10	nmod
12	déle	ADV	8	advmod
13	než	SCONJ	15	mark
14	30	NUM	15	nummod:gov
15	minut	NOUN	12	obl
16	a	CCONJ	22	cc
17	lékař	NOUN	22	nsubj
18	na	ADP	19	case
19	příjmu	NOUN	17	nmod
20	se	PRON	22	expl:pv
21	mezitím	ADV	22	advmod
22	snažil	VERB	8	conj
23	sehnat	VERB	22	xcomp
24	dýchací	ADJ	25	amod
25	přístroj	NOUN	23	obj
26	.	PUNCT	4	punct