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:
Její mluvčí uvedl, že čestné občanství Duchcova, jež má být Grünbeckovi uděleno, symbolizuje potřebu takových lidí pro porozumění ve střední Evropě.
Postion	Tokenization
1	Její
2	mluvčí
3	uvedl
4	,
5	že
6	čestné
7	občanství
8	Duchcova
9	,
10	jež
11	má
12	být
13	Grünbeckovi
14	uděleno
15	,
16	symbolizuje
17	potřebu
18	takových
19	lidí
20	pro
21	porozumění
22	ve
23	střední
24	Evropě
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Její	DET	2	det
2	mluvčí	NOUN	3	nsubj
3	uvedl	VERB	0	root
4	,	PUNCT	16	punct
5	že	SCONJ	16	mark
6	čestné	ADJ	7	amod
7	občanství	NOUN	16	nsubj
8	Duchcova	PROPN	7	nmod
9	,	PUNCT	11	punct
10	jež	PRON	11	nsubj
11	má	VERB	7	acl:relcl
12	být	AUX	14	aux:pass
13	Grünbeckovi	PROPN	14	obl:arg
14	uděleno	ADJ	11	obj
15	,	PUNCT	11	punct
16	symbolizuje	VERB	3	ccomp
17	potřebu	NOUN	16	obj
18	takových	DET	19	det
19	lidí	NOUN	17	nmod
20	pro	ADP	21	case
21	porozumění	NOUN	17	nmod
22	ve	ADP	24	case
23	střední	ADJ	24	amod
24	Evropě	PROPN	21	nmod
25	.	PUNCT	3	punct