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:
Kad ir kokios būtų su tuo susijusios problemos, kad ir kiek jas bandytų išpūsti rasistai, nei viena Europos Sąjungos tauta nerodo nutautėjimo požymių.
Postion	Tokenization
1	Kad
2	ir
3	kokios
4	būtų
5	su
6	tuo
7	susijusios
8	problemos
9	,
10	kad
11	ir
12	kiek
13	jas
14	bandytų
15	išpūsti
16	rasistai
17	,
18	nei
19	viena
20	Europos
21	Sąjungos
22	tauta
23	nerodo
24	nutautėjimo
25	požymių
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Kad	SCONJ	8	mark
2	ir	CCONJ	1	fixed
3	kokios	PRON	1	fixed
4	būtų	AUX	8	cop
5	su	ADP	6	case
6	tuo	PRON	7	obl
7	susijusios	VERB	8	acl
8	problemos	NOUN	23	advcl
9	,	PUNCT	14	punct
10	kad	SCONJ	14	mark
11	ir	CCONJ	10	fixed
12	kiek	ADV	10	fixed
13	jas	PRON	15	obj
14	bandytų	VERB	7	conj
15	išpūsti	VERB	14	xcomp
16	rasistai	NOUN	14	nsubj
17	,	PUNCT	8	punct
18	nei	CCONJ	23	cc
19	viena	ADJ	22	amod
20	Europos	PROPN	21	nmod
21	Sąjungos	PROPN	22	nmod
22	tauta	NOUN	23	nsubj
23	nerodo	VERB	0	root
24	nutautėjimo	NOUN	25	nmod
25	požymių	NOUN	23	obj
26	.	PUNCT	25	punct