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 text: Přestože podle slov primáře chirurgického oddělení nemocnice v Humpolci byl Alexander Dubček po nehodě schopen komunikovat s lékaři a jeho fyzický stav byl překvapivě dobrý, po převozu vrtulníkem do pražské nemocnice Na Homolce se jeho stav rapidně zhoršil.
Position	Tokenization	UPOS	Head	Deprel
1	Přestože	SCONJ	15	mark
2	podle	ADP	3	case
3	slov	NOUN	15	obl
4	primáře	NOUN	3	nmod
5	chirurgického	ADJ	6	amod
6	oddělení	NOUN	4	nmod
7	nemocnice	NOUN	6	nmod
8	v	ADP	9	case
9	Humpolci	PROPN	7	nmod
10	byl	AUX	15	aux
11	Alexander	PROPN	15	nsubj
12	Dubček	PROPN	11	flat
13	po	ADP	14	case
14	nehodě	NOUN	15	obl
15	schopen	ADJ	39	obl
16	komunikovat	VERB	15	xcomp
17	s	ADP	18	case
18	lékaři	NOUN	16	obl:arg
19	a	CCONJ	25	cc
20	jeho	DET	22	det
21	fyzický	ADJ	22	amod
22	stav	NOUN	25	nsubj
23	byl	AUX	25	cop
24	překvapivě	ADV	25	advmod
25	dobrý	ADJ	15	conj
26	,	PUNCT	15	punct
27	po	ADP	28	case
28	převozu	NOUN	39	obl
29	vrtulníkem	NOUN	28	nmod
30	do	ADP	32	case
31	pražské	ADJ	32	amod
32	nemocnice	NOUN	28	nmod
33	Na	ADP	34	case
34	Homolce	PROPN	32	nmod
35	se	PRON	39	expl:pv
36	jeho	DET	37	det
37	stav	NOUN	39	nsubj
38	rapidně	ADV	39	advmod
39	zhoršil	VERB	0	root
40	.	PUNCT	39	punct