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:
Již ale opomíjí, a opět asi záměrně, tisíce uměleckých předmětů, které byly podle restitučního zákona vráceny majitelům, především právě katolické církvi.
Postion	Tokenization
1	Již
2	ale
3	opomíjí
4	,
5	a
6	opět
7	asi
8	záměrně
9	,
10	tisíce
11	uměleckých
12	předmětů
13	,
14	které
15	byly
16	podle
17	restitučního
18	zákona
19	vráceny
20	majitelům
21	,
22	především
23	právě
24	katolické
25	církvi
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Již	ADV	3	advmod
2	ale	CCONJ	3	cc
3	opomíjí	VERB	0	root
4	,	PUNCT	3	punct
5	a	CCONJ	6	cc
6	opět	ADV	3	dep
7	asi	PART	8	advmod:emph
8	záměrně	ADV	6	conj
9	,	PUNCT	3	punct
10	tisíce	NOUN	3	obj
11	uměleckých	ADJ	12	amod
12	předmětů	NOUN	10	nmod
13	,	PUNCT	19	punct
14	které	DET	19	nsubj:pass
15	byly	AUX	19	aux:pass
16	podle	ADP	18	case
17	restitučního	ADJ	18	amod
18	zákona	NOUN	19	obl
19	vráceny	ADJ	12	amod
20	majitelům	NOUN	19	obl:arg
21	,	PUNCT	25	punct
22	především	ADV	25	advmod:emph
23	právě	ADV	25	advmod:emph
24	katolické	ADJ	25	amod
25	církvi	NOUN	19	obl:arg
26	.	PUNCT	3	punct