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:
Doktorka Běla Tůmová z pražského Státního zdravotního ústavu však Lidovým novinám sdělila, že u nás se zatím od nového roku nepodařilo zachytit vlastní virus.
Postion	Tokenization
1	Doktorka
2	Běla
3	Tůmová
4	z
5	pražského
6	Státního
7	zdravotního
8	ústavu
9	však
10	Lidovým
11	novinám
12	sdělila
13	,
14	že
15	u
16	nás
17	se
18	zatím
19	od
20	nového
21	roku
22	nepodařilo
23	zachytit
24	vlastní
25	virus
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Doktorka	NOUN	12	nsubj
2	Běla	PROPN	1	flat
3	Tůmová	PROPN	1	flat
4	z	ADP	8	case
5	pražského	ADJ	8	amod
6	Státního	ADJ	8	amod
7	zdravotního	ADJ	8	amod
8	ústavu	NOUN	1	nmod
9	však	CCONJ	12	cc
10	Lidovým	ADJ	11	amod
11	novinám	NOUN	12	obl:arg
12	sdělila	VERB	0	root
13	,	PUNCT	22	punct
14	že	SCONJ	22	mark
15	u	ADP	16	case
16	nás	PRON	22	obl
17	se	PRON	22	expl:pv
18	zatím	ADV	22	advmod
19	od	ADP	21	case
20	nového	ADJ	21	amod
21	roku	NOUN	22	obl
22	nepodařilo	VERB	12	ccomp
23	zachytit	VERB	22	csubj
24	vlastní	ADJ	25	amod
25	virus	NOUN	23	obj
26	.	PUNCT	12	punct