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:
Juo daugiau tolerancijos, juo mažiau Lietuvos, - sako filosofas Arvydas Juozaitis: jei būsime tolerantiški, mus paskandins svetimos kultūros ir rasės, mūsų šventą gintarinį pajūrį užplūs visokie perėjūnai, nuo kurių desperatiškai gynėmės ir daugmaž (nors, žinoma, ne visai) apsigynėme sovietmečiu.
Postion	Tokenization
1	Juo
2	daugiau
3	tolerancijos
4	,
5	juo
6	mažiau
7	Lietuvos
8	,
9	-
10	sako
11	filosofas
12	Arvydas
13	Juozaitis
14	:
15	jei
16	būsime
17	tolerantiški
18	,
19	mus
20	paskandins
21	svetimos
22	kultūros
23	ir
24	rasės
25	,
26	mūsų
27	šventą
28	gintarinį
29	pajūrį
30	užplūs
31	visokie
32	perėjūnai
33	,
34	nuo
35	kurių
36	desperatiškai
37	gynėmės
38	ir
39	daugmaž
40	(
41	nors
42	,
43	žinoma
44	,
45	ne
46	visai
47	)
48	apsigynėme
49	sovietmečiu
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Juo	SCONJ	3	mark
2	daugiau	ADV	6	advcl
3	tolerancijos	NOUN	2	nsubj
4	,	PUNCT	2	punct
5	juo	SCONJ	6	mark
6	mažiau	ADV	10	ccomp
7	Lietuvos	PROPN	6	nsubj
8	,	PUNCT	6	punct
9	-	PUNCT	6	punct
10	sako	VERB	0	root
11	filosofas	NOUN	12	nmod
12	Arvydas	PROPN	10	nsubj
13	Juozaitis	PROPN	12	flat
14	:	PUNCT	20	punct
15	jei	SCONJ	17	mark
16	būsime	AUX	17	cop
17	tolerantiški	ADJ	20	advcl
18	,	PUNCT	17	punct
19	mus	PRON	20	obj
20	paskandins	VERB	10	parataxis
21	svetimos	ADJ	22	amod
22	kultūros	NOUN	20	nsubj
23	ir	CCONJ	24	cc
24	rasės	NOUN	22	conj
25	,	PUNCT	30	punct
26	mūsų	DET	29	det
27	šventą	ADJ	29	amod
28	gintarinį	ADJ	29	amod
29	pajūrį	NOUN	30	obj
30	užplūs	VERB	20	conj
31	visokie	ADJ	32	amod
32	perėjūnai	NOUN	30	nsubj
33	,	PUNCT	34	punct
34	nuo	ADP	35	case
35	kurių	PRON	37	obl
36	desperatiškai	ADV	37	advmod
37	gynėmės	VERB	32	acl:relcl
38	ir	CCONJ	48	cc
39	daugmaž	ADV	48	advmod
40	(	PUNCT	46	punct
41	nors	SCONJ	46	mark
42	,	PUNCT	43	punct
43	žinoma	VERB	46	parataxis
44	,	PUNCT	43	punct
45	ne	PART	46	advmod
46	visai	ADV	39	parataxis
47	)	PUNCT	46	punct
48	apsigynėme	VERB	37	conj
49	sovietmečiu	NOUN	37	obl
50	.	PUNCT	10	punct