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:
Konkurse tada ji užėmė tik trečią vietą: pirmąją gavo Kratinas už komediją „Butelis“ (apie paties dramaturgo kovą su alkoholizmu), antrąją Amipsijus, apie kurį beveik nieko nežinome.
Postion	Tokenization
1	Konkurse
2	tada
3	ji
4	užėmė
5	tik
6	trečią
7	vietą
8	:
9	pirmąją
10	gavo
11	Kratinas
12	už
13	komediją
14	„
15	Butelis
16	“
17	(
18	apie
19	paties
20	dramaturgo
21	kovą
22	su
23	alkoholizmu
24	)
25	,
26	antrąją
27	Amipsijus
28	,
29	apie
30	kurį
31	beveik
32	nieko
33	nežinome
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Konkurse	NOUN	4	obl
2	tada	ADV	4	obl
3	ji	PRON	4	nsubj
4	užėmė	VERB	0	root
5	tik	ADV	6	advmod
6	trečią	ADJ	7	amod
7	vietą	NOUN	4	obj
8	:	PUNCT	10	punct
9	pirmąją	ADJ	10	obj
10	gavo	VERB	4	parataxis
11	Kratinas	PROPN	10	nsubj
12	už	ADP	13	case
13	komediją	NOUN	4	obl
14	„	PUNCT	15	punct
15	Butelis	NOUN	13	appos
16	“	PUNCT	15	punct
17	(	PUNCT	21	punct
18	apie	ADP	21	case
19	paties	DET	20	det
20	dramaturgo	NOUN	21	nmod
21	kovą	NOUN	13	appos
22	su	ADP	23	case
23	alkoholizmu	NOUN	21	nmod
24	)	PUNCT	21	punct
25	,	PUNCT	26	punct
26	antrąją	ADJ	10	conj
27	Amipsijus	PROPN	26	nsubj
28	,	PUNCT	33	punct
29	apie	ADP	30	case
30	kurį	PRON	33	obl
31	beveik	ADV	32	advmod
32	nieko	NOUN	33	obj
33	nežinome	VERB	27	acl:relcl
34	.	PUNCT	4	punct