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:
Motiv jeho jednání pravděpodobně souvisí s restitučním nárokem na vydání objektu, který obviněný uplatnil před čtyřmi roky a jenž byl zamítnut jako neoprávněný.
Postion	Tokenization
1	Motiv
2	jeho
3	jednání
4	pravděpodobně
5	souvisí
6	s
7	restitučním
8	nárokem
9	na
10	vydání
11	objektu
12	,
13	který
14	obviněný
15	uplatnil
16	před
17	čtyřmi
18	roky
19	a
20	jenž
21	byl
22	zamítnut
23	jako
24	neoprávněný
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Motiv	NOUN	5	nsubj
2	jeho	DET	3	det
3	jednání	NOUN	1	nmod
4	pravděpodobně	ADV	5	advmod
5	souvisí	VERB	0	root
6	s	ADP	8	case
7	restitučním	ADJ	8	amod
8	nárokem	NOUN	5	obl:arg
9	na	ADP	10	case
10	vydání	NOUN	8	nmod
11	objektu	NOUN	10	nmod
12	,	PUNCT	15	punct
13	který	DET	15	obj
14	obviněný	ADJ	15	nsubj
15	uplatnil	VERB	8	acl:relcl
16	před	ADP	18	case
17	čtyřmi	NUM	18	nummod
18	roky	NOUN	15	obl
19	a	CCONJ	22	cc
20	jenž	PRON	22	nsubj:pass
21	byl	AUX	22	aux:pass
22	zamítnut	ADJ	15	conj
23	jako	SCONJ	24	mark
24	neoprávněný	ADJ	20	xcomp
25	.	PUNCT	5	punct