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:
Agresyvi ksenofobija, izoliacionizmas, itin tamsybiškas klerkalizavimas puikiai pastebimi Lenkijoje – gal net labiau, negu pas mus (mūsų Bažnyčia ne tokia įtakinga, bet ir ne taip toli nukrypusi į dešinę).
Postion	Tokenization
1	Agresyvi
2	ksenofobija
3	,
4	izoliacionizmas
5	,
6	itin
7	tamsybiškas
8	klerkalizavimas
9	puikiai
10	pastebimi
11	Lenkijoje
12	–
13	gal
14	net
15	labiau
16	,
17	negu
18	pas
19	mus
20	(
21	mūsų
22	Bažnyčia
23	ne
24	tokia
25	įtakinga
26	,
27	bet
28	ir
29	ne
30	taip
31	toli
32	nukrypusi
33	į
34	dešinę
35	)
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Agresyvi	ADJ	2	amod
2	ksenofobija	NOUN	10	nsubj
3	,	PUNCT	4	punct
4	izoliacionizmas	NOUN	2	conj
5	,	PUNCT	8	punct
6	itin	ADV	8	advmod
7	tamsybiškas	ADJ	8	amod
8	klerkalizavimas	NOUN	2	conj
9	puikiai	ADV	10	advmod
10	pastebimi	VERB	0	root
11	Lenkijoje	PROPN	10	obl
12	–	PUNCT	15	punct
13	gal	PART	15	advmod:emph
14	net	ADV	15	advmod
15	labiau	ADV	9	parataxis
16	,	PUNCT	19	punct
17	negu	SCONJ	19	case
18	pas	ADP	19	case
19	mus	PRON	15	obl
20	(	PUNCT	25	punct
21	mūsų	DET	22	det
22	Bažnyčia	NOUN	25	nsubj
23	ne	PART	25	advmod
24	tokia	DET	25	det
25	įtakinga	ADJ	15	parataxis
26	,	PUNCT	32	punct
27	bet	CCONJ	32	cc
28	ir	CCONJ	31	advmod
29	ne	PART	30	advmod
30	taip	ADV	31	parataxis
31	toli	ADV	32	advmod
32	nukrypusi	VERB	25	conj
33	į	ADP	34	case
34	dešinę	NOUN	32	obl
35	)	PUNCT	25	punct
36	.	PUNCT	10	punct