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 text: Na rozdíl od Genu, zachycujícího 100 Čechů dneška, umožní připravovaný projekt oslovit širší spektrum osobností (uvažuje se třeba o rabínu Karolu Sidonovi, Madeleine Albrightové či Lídě Rakušanové) a systematičtěji se věnovat rovněž lidem z venkova.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	4	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	Genu	PROPN	11	obl
5	,	PUNCT	6	punct
6	zachycujícího	ADJ	4	amod
7	100	NUM	8	nummod:gov
8	Čechů	PROPN	6	obj
9	dneška	NOUN	8	nmod
10	,	PUNCT	6	punct
11	umožní	VERB	0	root
12	připravovaný	ADJ	13	amod
13	projekt	NOUN	11	nsubj
14	oslovit	VERB	11	xcomp
15	širší	ADJ	16	amod
16	spektrum	NOUN	14	obj
17	osobností	NOUN	16	nmod
18	(	PUNCT	19	punct
19	uvažuje	VERB	16	parataxis
20	se	PRON	19	expl:pass
21	třeba	ADV	23	advmod:emph
22	o	ADP	23	case
23	rabínu	NOUN	19	obl:arg
24	Karolu	PROPN	23	flat
25	Sidonovi	PROPN	23	flat
26	,	PUNCT	27	punct
27	Madeleine	PROPN	23	conj
28	Albrightové	PROPN	27	flat
29	či	CCONJ	30	cc
30	Lídě	PROPN	23	conj
31	Rakušanové	PROPN	30	flat
32	)	PUNCT	19	punct
33	a	CCONJ	36	cc
34	systematičtěji	ADV	36	advmod
35	se	PRON	36	expl:pv
36	věnovat	VERB	14	conj
37	rovněž	ADV	38	advmod:emph
38	lidem	NOUN	36	obl:arg
39	z	ADP	40	case
40	venkova	NOUN	38	nmod
41	.	PUNCT	11	punct