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:
Daugelį apima stačiai rasistinis siaubas pagalvojus, kad lietuviu gali būti laikomas vietnamietis arba juodaodis, jeigu jis gyvena Lietuvoje, turi jos pilietybę vykdo piliečio pareigas ir kalba lietuviškai – juo labiau lietuvis gali būti (ir turi būti) laikomi jo vaikai.
Postion	Tokenization
1	Daugelį
2	apima
3	stačiai
4	rasistinis
5	siaubas
6	pagalvojus
7	,
8	kad
9	lietuviu
10	gali
11	būti
12	laikomas
13	vietnamietis
14	arba
15	juodaodis
16	,
17	jeigu
18	jis
19	gyvena
20	Lietuvoje
21	,
22	turi
23	jos
24	pilietybę
25	vykdo
26	piliečio
27	pareigas
28	ir
29	kalba
30	lietuviškai
31	–
32	juo
33	labiau
34	lietuvis
35	gali
36	būti
37	(
38	ir
39	turi
40	būti
41	)
42	laikomi
43	jo
44	vaikai
45	.
Position	Tokenization	UPOS	Head	Deprel
1	Daugelį	NOUN	2	obj
2	apima	VERB	0	root
3	stačiai	ADV	5	advmod
4	rasistinis	ADJ	5	amod
5	siaubas	NOUN	2	nsubj
6	pagalvojus	VERB	2	advcl
7	,	PUNCT	10	punct
8	kad	SCONJ	10	mark
9	lietuviu	ADJ	12	iobj
10	gali	VERB	6	ccomp
11	būti	AUX	12	aux
12	laikomas	VERB	10	xcomp
13	vietnamietis	NOUN	10	nsubj
14	arba	CCONJ	15	cc
15	juodaodis	NOUN	13	conj
16	,	PUNCT	19	punct
17	jeigu	SCONJ	19	mark
18	jis	PRON	19	nsubj
19	gyvena	VERB	12	advcl
20	Lietuvoje	PROPN	19	obl
21	,	PUNCT	22	punct
22	turi	VERB	19	conj
23	jos	DET	24	det
24	pilietybę	NOUN	22	obj
25	vykdo	VERB	19	conj
26	piliečio	NOUN	27	nmod
27	pareigas	NOUN	25	obj
28	ir	CCONJ	29	cc
29	kalba	VERB	19	conj
30	lietuviškai	ADV	29	advmod
31	–	PUNCT	35	punct
32	juo	PART	35	advmod:emph
33	labiau	ADV	32	fixed
34	lietuvis	ADJ	35	iobj
35	gali	VERB	10	parataxis
36	būti	AUX	42	aux
37	(	PUNCT	39	punct
38	ir	CCONJ	39	cc
39	turi	VERB	35	conj
40	būti	VERB	39	xcomp
41	)	PUNCT	39	punct
42	laikomi	VERB	35	xcomp
43	jo	DET	44	det
44	vaikai	NOUN	42	nsubj
45	.	PUNCT	2	punct