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:
Ta, po téměř čtyřech letech poznamenaných diskusemi a neúspěšnými legislativními kroky, otevřela možnost, aby Židům byl vrácen majetek, o který je připravili nacisté.
Postion	Tokenization
1	Ta
2	,
3	po
4	téměř
5	čtyřech
6	letech
7	poznamenaných
8	diskusemi
9	a
10	neúspěšnými
11	legislativními
12	kroky
13	,
14	otevřela
15	možnost
16	,
17	aby
18	aby
19	by
20	Židům
21	byl
22	vrácen
23	majetek
24	,
25	o
26	který
27	je
28	připravili
29	nacisté
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Ta	DET	14	nsubj
2	,	PUNCT	6	punct
3	po	ADP	6	case
4	téměř	ADV	6	advmod:emph
5	čtyřech	NUM	6	nummod
6	letech	NOUN	14	obl
7	poznamenaných	ADJ	6	amod
8	diskusemi	NOUN	7	obl:arg
9	a	CCONJ	12	cc
10	neúspěšnými	ADJ	12	amod
11	legislativními	ADJ	12	amod
12	kroky	NOUN	8	conj
13	,	PUNCT	6	punct
14	otevřela	VERB	0	root
15	možnost	NOUN	14	obj
16	,	PUNCT	21	punct
17	aby	_	None	_
18	aby	SCONJ	21	mark
19	by	AUX	21	aux
20	Židům	PROPN	21	obl:arg
21	byl	AUX	21	cop
22	vrácen	ADJ	15	acl
23	majetek	NOUN	21	nsubj
24	,	PUNCT	27	punct
25	o	ADP	25	case
26	který	DET	27	obl:arg
27	je	PRON	27	obj
28	připravili	VERB	22	acl:relcl
29	nacisté	NOUN	27	nsubj
30	.	PUNCT	14	punct