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 Běly Tůmové tvoří letos výjimku pouze lokální epidemie na školách v Německu, zejména v Sasku, dále se virus vyskytl ve větší míře ve Finsku a ve Španělsku.
Postion	Tokenization
1	Podle
2	Běly
3	Tůmové
4	tvoří
5	letos
6	výjimku
7	pouze
8	lokální
9	epidemie
10	na
11	školách
12	v
13	Německu
14	,
15	zejména
16	v
17	Sasku
18	,
19	dále
20	se
21	virus
22	vyskytl
23	ve
24	větší
25	míře
26	ve
27	Finsku
28	a
29	ve
30	Španělsku
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Podle	ADP	2	case
2	Běly	PROPN	4	obl
3	Tůmové	PROPN	2	flat
4	tvoří	VERB	0	root
5	letos	ADV	4	advmod
6	výjimku	NOUN	4	obj
7	pouze	ADV	9	advmod:emph
8	lokální	ADJ	9	amod
9	epidemie	NOUN	4	nsubj
10	na	ADP	11	case
11	školách	NOUN	9	nmod
12	v	ADP	13	case
13	Německu	PROPN	11	nmod
14	,	PUNCT	17	punct
15	zejména	ADV	17	advmod:emph
16	v	ADP	17	case
17	Sasku	PROPN	11	nmod
18	,	PUNCT	22	punct
19	dále	ADV	22	advmod
20	se	PRON	22	expl:pv
21	virus	NOUN	22	nsubj
22	vyskytl	VERB	4	conj
23	ve	ADP	25	case
24	větší	ADJ	25	amod
25	míře	NOUN	22	obl
26	ve	ADP	27	case
27	Finsku	PROPN	22	obl
28	a	CCONJ	30	cc
29	ve	ADP	30	case
30	Španělsku	PROPN	27	conj
31	.	PUNCT	4	punct