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 M. Brůčkové lékaři sledující imunologický stav pacienta vědí, čím by mohl být ohrožen, a proto mu preventivně podávají léky proti infekčním onemocněním.
Postion	Tokenization
1	Podle
2	M
3	.
4	Brůčkové
5	lékaři
6	sledující
7	imunologický
8	stav
9	pacienta
10	vědí
11	,
12	čím
13	by
14	mohl
15	být
16	ohrožen
17	,
18	a
19	proto
20	mu
21	preventivně
22	podávají
23	léky
24	proti
25	infekčním
26	onemocněním
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	M	PROPN	10	obl
3	.	PUNCT	2	punct
4	Brůčkové	PROPN	2	flat
5	lékaři	NOUN	10	nsubj
6	sledující	ADJ	5	amod
7	imunologický	ADJ	8	amod
8	stav	NOUN	6	obj
9	pacienta	NOUN	8	nmod
10	vědí	VERB	0	root
11	,	PUNCT	14	punct
12	čím	PRON	16	obl:arg
13	by	AUX	14	aux
14	mohl	VERB	10	ccomp
15	být	AUX	16	aux:pass
16	ohrožen	ADJ	14	obj
17	,	PUNCT	22	punct
18	a	CCONJ	22	cc
19	proto	CCONJ	22	cc
20	mu	PRON	22	obl:arg
21	preventivně	ADV	22	advmod
22	podávají	VERB	10	conj
23	léky	NOUN	22	obj
24	proti	ADP	26	case
25	infekčním	ADJ	26	amod
26	onemocněním	NOUN	23	nmod
27	.	PUNCT	10	punct