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:
Léčebná moc této bílkoviny láká: lékaři z univerzitní nemocnice v Bernu znovu potvrzují její dobrou účinnost u pacientů s rakovinou.
Postion	Tokenization
1	Léčebná
2	moc
3	této
4	bílkoviny
5	láká
6	:
7	lékaři
8	z
9	univerzitní
10	nemocnice
11	v
12	Bernu
13	znovu
14	potvrzují
15	její
16	dobrou
17	účinnost
18	u
19	pacientů
20	s
21	rakovinou
22	.
Position	Tokenization	UPOS	Head	Deprel
1	Léčebná	ADJ	2	amod
2	moc	NOUN	5	nsubj
3	této	DET	4	det
4	bílkoviny	NOUN	2	nmod
5	láká	VERB	0	root
6	:	PUNCT	14	punct
7	lékaři	NOUN	14	nsubj
8	z	ADP	10	case
9	univerzitní	ADJ	10	amod
10	nemocnice	NOUN	7	nmod
11	v	ADP	12	case
12	Bernu	PROPN	10	nmod
13	znovu	ADV	14	advmod
14	potvrzují	VERB	5	conj
15	její	DET	17	det
16	dobrou	ADJ	17	amod
17	účinnost	NOUN	14	obj
18	u	ADP	19	case
19	pacientů	NOUN	17	nmod
20	s	ADP	21	case
21	rakovinou	NOUN	19	nmod
22	.	PUNCT	5	punct