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:
Taip, mano adresas – ne menkutė, izoliuota, visų aplinkui neapkenčianti ir bijanti Lietuva, o Lietuva Europoje, Lietuva pasaulyje.
Postion	Tokenization
1	Taip
2	,
3	mano
4	adresas
5	–
6	ne
7	menkutė
8	,
9	izoliuota
10	,
11	visų
12	aplinkui
13	neapkenčianti
14	ir
15	bijanti
16	Lietuva
17	,
18	o
19	Lietuva
20	Europoje
21	,
22	Lietuva
23	pasaulyje
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Taip	PART	0	root
2	,	PUNCT	16	punct
3	mano	DET	4	det
4	adresas	NOUN	16	nsubj
5	–	PUNCT	16	punct
6	ne	PART	16	advmod
7	menkutė	ADJ	16	amod
8	,	PUNCT	9	punct
9	izoliuota	VERB	7	conj
10	,	PUNCT	13	punct
11	visų	PRON	13	obj
12	aplinkui	ADV	13	advmod
13	neapkenčianti	VERB	7	conj
14	ir	CCONJ	15	cc
15	bijanti	VERB	13	conj
16	Lietuva	PROPN	1	parataxis
17	,	PUNCT	18	punct
18	o	CCONJ	19	cc
19	Lietuva	PROPN	16	conj
20	Europoje	PROPN	19	nmod
21	,	PUNCT	22	punct
22	Lietuva	PROPN	16	conj
23	pasaulyje	NOUN	22	nmod
24	.	PUNCT	1	punct