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:
Bent penkiasdešimt metų, o gal ir ilgiau (jei turėsime galvoje Smetonos autoritarizmo laikotarpį) Lietuvoje stigo normalios, „sokratiškos“ intelektualios terpės.
Postion	Tokenization
1	Bent
2	penkiasdešimt
3	metų
4	,
5	o
6	gal
7	ir
8	ilgiau
9	(
10	jei
11	turėsime
12	galvoje
13	Smetonos
14	autoritarizmo
15	laikotarpį
16	)
17	Lietuvoje
18	stigo
19	normalios
20	,
21	„
22	sokratiškos
23	“
24	intelektualios
25	terpės
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Bent	PART	2	advmod:emph
2	penkiasdešimt	NUM	3	nummod
3	metų	NOUN	18	obl
4	,	PUNCT	8	punct
5	o	CCONJ	8	cc
6	gal	PART	8	advmod:emph
7	ir	PART	8	advmod:emph
8	ilgiau	ADV	3	conj
9	(	PUNCT	11	punct
10	jei	SCONJ	11	mark
11	turėsime	VERB	8	parataxis
12	galvoje	NOUN	11	obl
13	Smetonos	PROPN	14	nmod
14	autoritarizmo	NOUN	15	nmod
15	laikotarpį	NOUN	11	obj
16	)	PUNCT	11	punct
17	Lietuvoje	PROPN	18	obl
18	stigo	VERB	0	root
19	normalios	ADJ	25	amod
20	,	PUNCT	22	punct
21	„	PUNCT	22	punct
22	sokratiškos	ADJ	19	appos
23	“	PUNCT	22	punct
24	intelektualios	ADJ	25	amod
25	terpės	NOUN	18	nsubj
26	.	PUNCT	18	punct