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:
Tuto informaci, kterou LN přinesly už v pátek, potvrdil včera jeden ze signatářů podnětu - místostarosta městské části Jihozápadní město Jiří Dimitrov, jenž obdržel rozhodnutí soudu.
Postion	Tokenization
1	Tuto
2	informaci
3	,
4	kterou
5	LN
6	přinesly
7	už
8	v
9	pátek
10	,
11	potvrdil
12	včera
13	jeden
14	ze
15	signatářů
16	podnětu
17	-
18	místostarosta
19	městské
20	části
21	Jihozápadní
22	město
23	Jiří
24	Dimitrov
25	,
26	jenž
27	obdržel
28	rozhodnutí
29	soudu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tuto	DET	2	det
2	informaci	NOUN	11	obj
3	,	PUNCT	6	punct
4	kterou	DET	6	obj
5	LN	PROPN	6	nsubj
6	přinesly	VERB	2	acl:relcl
7	už	ADV	9	advmod:emph
8	v	ADP	9	case
9	pátek	NOUN	6	obl
10	,	PUNCT	6	punct
11	potvrdil	VERB	0	root
12	včera	ADV	11	advmod
13	jeden	NUM	11	nsubj
14	ze	ADP	15	case
15	signatářů	NOUN	13	nmod
16	podnětu	NOUN	15	nmod
17	-	PUNCT	18	punct
18	místostarosta	NOUN	13	appos
19	městské	ADJ	20	amod
20	části	NOUN	18	nmod
21	Jihozápadní	ADJ	22	amod
22	město	NOUN	20	nmod
23	Jiří	PROPN	18	flat
24	Dimitrov	PROPN	18	flat
25	,	PUNCT	27	punct
26	jenž	PRON	27	nsubj
27	obdržel	VERB	18	acl:relcl
28	rozhodnutí	NOUN	27	obj
29	soudu	NOUN	28	nmod
30	.	PUNCT	11	punct