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:
Febio v něm na portréty vynikajících profesionálů z různých oborů hodlá navázat svědectvími o pozoruhodných a příkladných osudech, které potkaly i lidi zcela neznámé.
Postion	Tokenization
1	Febio
2	v
3	něm
4	na
5	portréty
6	vynikajících
7	profesionálů
8	z
9	různých
10	oborů
11	hodlá
12	navázat
13	svědectvími
14	o
15	pozoruhodných
16	a
17	příkladných
18	osudech
19	,
20	které
21	potkaly
22	i
23	lidi
24	zcela
25	neznámé
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Febio	PROPN	11	nsubj
2	v	ADP	3	case
3	něm	PRON	11	obl
4	na	ADP	5	case
5	portréty	NOUN	12	obl:arg
6	vynikajících	ADJ	7	amod
7	profesionálů	NOUN	5	nmod
8	z	ADP	10	case
9	různých	ADJ	10	amod
10	oborů	NOUN	7	nmod
11	hodlá	VERB	0	root
12	navázat	VERB	11	xcomp
13	svědectvími	NOUN	12	obl
14	o	ADP	18	case
15	pozoruhodných	ADJ	18	amod
16	a	CCONJ	17	cc
17	příkladných	ADJ	15	conj
18	osudech	NOUN	13	nmod
19	,	PUNCT	21	punct
20	které	DET	21	nsubj
21	potkaly	VERB	18	acl:relcl
22	i	CCONJ	23	advmod:emph
23	lidi	NOUN	21	obj
24	zcela	ADV	25	advmod
25	neznámé	ADJ	23	amod
26	.	PUNCT	11	punct