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 docenta Víta Petrů z České společnosti alergologie a imunologie je pravděpodobné, že lidský organismus může být znečištěným ovzduším natolik oslaben, že se neubrání jednomu z nejčastějších alergenů, tedy pylu.
Postion	Tokenization
1	Podle
2	docenta
3	Víta
4	Petrů
5	z
6	České
7	společnosti
8	alergologie
9	a
10	imunologie
11	je
12	pravděpodobné
13	,
14	že
15	lidský
16	organismus
17	může
18	být
19	znečištěným
20	ovzduším
21	natolik
22	oslaben
23	,
24	že
25	se
26	neubrání
27	jednomu
28	z
29	nejčastějších
30	alergenů
31	,
32	tedy
33	pylu
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	3	case
2	docenta	NOUN	3	nmod
3	Víta	PROPN	12	obl
4	Petrů	PROPN	3	flat
5	z	ADP	7	case
6	České	ADJ	7	amod
7	společnosti	NOUN	3	nmod
8	alergologie	NOUN	7	nmod
9	a	CCONJ	10	cc
10	imunologie	NOUN	8	conj
11	je	AUX	12	cop
12	pravděpodobné	ADJ	0	root
13	,	PUNCT	17	punct
14	že	SCONJ	17	mark
15	lidský	ADJ	16	amod
16	organismus	NOUN	17	nsubj
17	může	VERB	12	csubj
18	být	AUX	22	cop
19	znečištěným	ADJ	20	amod
20	ovzduším	NOUN	22	obl:arg
21	natolik	ADV	22	advmod
22	oslaben	ADJ	17	xcomp
23	,	PUNCT	26	punct
24	že	SCONJ	26	mark
25	se	PRON	26	expl:pv
26	neubrání	VERB	22	advcl
27	jednomu	NUM	26	obl:arg
28	z	ADP	30	case
29	nejčastějších	ADJ	30	amod
30	alergenů	NOUN	27	nmod
31	,	PUNCT	33	punct
32	tedy	ADV	33	cc
33	pylu	NOUN	27	appos
34	.	PUNCT	12	punct