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:
Reakce Ruska, protože volební diskriminace se týká především Rusů plánovaně sem "přemístěných" za Stalina či později, byla podrážděná a jistě bude mít další pokračování.
Postion	Tokenization
1	Reakce
2	Ruska
3	,
4	protože
5	volební
6	diskriminace
7	se
8	týká
9	především
10	Rusů
11	plánovaně
12	sem
13	"
14	přemístěných
15	"
16	za
17	Stalina
18	či
19	později
20	,
21	byla
22	podrážděná
23	a
24	jistě
25	bude
26	mít
27	další
28	pokračování
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Reakce	NOUN	22	nsubj
2	Ruska	PROPN	1	nmod
3	,	PUNCT	8	punct
4	protože	SCONJ	8	mark
5	volební	ADJ	6	amod
6	diskriminace	NOUN	8	nsubj
7	se	PRON	8	expl:pv
8	týká	VERB	22	advcl
9	především	ADV	10	advmod:emph
10	Rusů	PROPN	8	obl:arg
11	plánovaně	ADV	14	advmod
12	sem	ADV	14	advmod
13	"	PUNCT	14	punct
14	přemístěných	ADJ	10	amod
15	"	PUNCT	14	punct
16	za	ADP	17	case
17	Stalina	PROPN	14	obl
18	či	CCONJ	19	cc
19	později	ADV	17	conj
20	,	PUNCT	8	punct
21	byla	AUX	22	cop
22	podrážděná	ADJ	0	root
23	a	CCONJ	26	cc
24	jistě	ADV	26	advmod
25	bude	AUX	26	aux
26	mít	VERB	22	conj
27	další	ADJ	28	amod
28	pokračování	NOUN	26	obj
29	.	PUNCT	22	punct