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:
Esu skaitęs – tiesa, ne lietuvių spaudoje, - interviu su mergina iš Europos, kuri atsako į klausimą, kuo skiriasi Rytų Europos politinė scena nuo Vakarų politinės scenos.
Postion	Tokenization
1	Esu
2	skaitęs
3	–
4	tiesa
5	,
6	ne
7	lietuvių
8	spaudoje
9	,
10	-
11	interviu
12	su
13	mergina
14	iš
15	Europos
16	,
17	kuri
18	atsako
19	į
20	klausimą
21	,
22	kuo
23	skiriasi
24	Rytų
25	Europos
26	politinė
27	scena
28	nuo
29	Vakarų
30	politinės
31	scenos
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Esu	AUX	2	aux
2	skaitęs	VERB	0	root
3	–	PUNCT	4	punct
4	tiesa	NOUN	8	parataxis
5	,	PUNCT	4	punct
6	ne	PART	8	advmod
7	lietuvių	ADJ	8	amod
8	spaudoje	NOUN	2	obl
9	,	PUNCT	8	punct
10	-	PUNCT	11	punct
11	interviu	NOUN	2	nsubj
12	su	ADP	13	case
13	mergina	NOUN	11	nmod
14	iš	ADP	15	case
15	Europos	PROPN	13	nmod
16	,	PUNCT	17	punct
17	kuri	PRON	18	nsubj
18	atsako	VERB	13	acl:relcl
19	į	ADP	20	case
20	klausimą	NOUN	18	obl
21	,	PUNCT	23	punct
22	kuo	ADV	23	advmod
23	skiriasi	VERB	20	ccomp
24	Rytų	PROPN	25	nmod
25	Europos	PROPN	27	nmod
26	politinė	ADJ	27	amod
27	scena	NOUN	23	nsubj
28	nuo	ADP	31	case
29	Vakarų	PROPN	31	nmod
30	politinės	ADJ	31	amod
31	scenos	NOUN	23	obl
32	.	PUNCT	2	punct