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:
Dobové statistiky, i když ne vždy úplné, uvádějí až dvojnásobnou míru nezaměstnanosti ve srovnání s oblastmi vnitrozemskými, kde žilo převážně české obyvatelstvo.
Postion	Tokenization
1	Dobové
2	statistiky
3	,
4	i
5	když
6	ne
7	vždy
8	úplné
9	,
10	uvádějí
11	až
12	dvojnásobnou
13	míru
14	nezaměstnanosti
15	ve
16	srovnání
17	s
18	oblastmi
19	vnitrozemskými
20	,
21	kde
22	žilo
23	převážně
24	české
25	obyvatelstvo
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Dobové	ADJ	2	amod
2	statistiky	NOUN	10	nsubj
3	,	PUNCT	8	punct
4	i	CCONJ	8	mark
5	když	SCONJ	4	fixed
6	ne	PART	7	advmod:emph
7	vždy	ADV	8	advmod
8	úplné	ADJ	2	dep
9	,	PUNCT	8	punct
10	uvádějí	VERB	0	root
11	až	PART	12	advmod:emph
12	dvojnásobnou	ADJ	13	amod
13	míru	NOUN	10	obj
14	nezaměstnanosti	NOUN	13	nmod
15	ve	ADP	18	case
16	srovnání	NOUN	15	fixed
17	s	ADP	15	fixed
18	oblastmi	NOUN	10	obl
19	vnitrozemskými	ADJ	18	amod
20	,	PUNCT	22	punct
21	kde	ADV	22	advmod
22	žilo	VERB	18	acl:relcl
23	převážně	ADV	25	advmod:emph
24	české	ADJ	25	amod
25	obyvatelstvo	NOUN	22	nsubj
26	.	PUNCT	10	punct