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:
Nicméně vyslovil uspokojení s názory poslanců, že oživení v okrese Nový Jičín, kde je největší nezaměstnanost v České republice, může přinést rychleji budovaná infrastruktura.
Postion	Tokenization
1	Nicméně
2	vyslovil
3	uspokojení
4	s
5	názory
6	poslanců
7	,
8	že
9	oživení
10	v
11	okrese
12	Nový
13	Jičín
14	,
15	kde
16	je
17	největší
18	nezaměstnanost
19	v
20	České
21	republice
22	,
23	může
24	přinést
25	rychleji
26	budovaná
27	infrastruktura
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nicméně	CCONJ	2	cc
2	vyslovil	VERB	0	root
3	uspokojení	NOUN	2	obj
4	s	ADP	5	case
5	názory	NOUN	3	nmod
6	poslanců	NOUN	5	nmod
7	,	PUNCT	23	punct
8	že	SCONJ	23	mark
9	oživení	NOUN	24	obj
10	v	ADP	11	case
11	okrese	NOUN	9	nmod
12	Nový	ADJ	13	amod
13	Jičín	PROPN	11	nmod
14	,	PUNCT	16	punct
15	kde	ADV	16	advmod
16	je	VERB	11	acl:relcl
17	největší	ADJ	18	amod
18	nezaměstnanost	NOUN	16	nsubj
19	v	ADP	21	case
20	České	ADJ	21	amod
21	republice	NOUN	18	nmod
22	,	PUNCT	16	punct
23	může	VERB	5	acl
24	přinést	VERB	23	xcomp
25	rychleji	ADV	26	advmod
26	budovaná	ADJ	27	amod
27	infrastruktura	NOUN	23	nsubj
28	.	PUNCT	2	punct