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:
Máme extrémně velký počet reálně odpracovaných hodin v kalendářním roce, a již nyní se zesiluje přitažlivost České republiky jako země pro běžence nikoliv tranzitní, ale cílové.
Postion	Tokenization
1	Máme
2	extrémně
3	velký
4	počet
5	reálně
6	odpracovaných
7	hodin
8	v
9	kalendářním
10	roce
11	,
12	a
13	již
14	nyní
15	se
16	zesiluje
17	přitažlivost
18	České
19	republiky
20	jako
21	země
22	pro
23	běžence
24	nikoliv
25	tranzitní
26	,
27	ale
28	cílové
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Máme	VERB	0	root
2	extrémně	ADV	3	advmod
3	velký	ADJ	4	amod
4	počet	NOUN	1	obj
5	reálně	ADV	6	advmod
6	odpracovaných	ADJ	7	amod
7	hodin	NOUN	4	nmod
8	v	ADP	10	case
9	kalendářním	ADJ	10	amod
10	roce	NOUN	6	obl
11	,	PUNCT	16	punct
12	a	CCONJ	16	cc
13	již	ADV	14	advmod:emph
14	nyní	ADV	16	advmod
15	se	PRON	16	expl:pv
16	zesiluje	VERB	1	conj
17	přitažlivost	NOUN	16	nsubj
18	České	ADJ	19	amod
19	republiky	NOUN	17	nmod
20	jako	SCONJ	21	mark
21	země	NOUN	19	xcomp
22	pro	ADP	23	case
23	běžence	NOUN	21	nmod
24	nikoliv	ADV	25	advmod:emph
25	tranzitní	ADJ	23	amod
26	,	PUNCT	28	punct
27	ale	CCONJ	28	cc
28	cílové	ADJ	25	conj
29	.	PUNCT	1	punct