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:
Mums netelpa galvoje, kad pasaulis gali būti ne toks jau blogas, o pasaulinė politika nebūtinai mums žalinga.
Postion	Tokenization
1	Mums
2	netelpa
3	galvoje
4	,
5	kad
6	pasaulis
7	gali
8	būti
9	ne
10	toks
11	jau
12	blogas
13	,
14	o
15	pasaulinė
16	politika
17	nebūtinai
18	mums
19	žalinga
20	.
Position	Tokenization	UPOS	Head	Deprel
1	Mums	PRON	2	iobj
2	netelpa	VERB	0	root
3	galvoje	NOUN	2	obl
4	,	PUNCT	7	punct
5	kad	SCONJ	7	mark
6	pasaulis	NOUN	7	nsubj
7	gali	VERB	2	ccomp
8	būti	VERB	7	xcomp
9	ne	PART	10	advmod
10	toks	DET	12	det
11	jau	PART	12	advmod:emph
12	blogas	ADJ	8	iobj
13	,	PUNCT	19	punct
14	o	CCONJ	19	cc
15	pasaulinė	ADJ	16	amod
16	politika	NOUN	19	nsubj
17	nebūtinai	ADV	19	advmod
18	mums	PRON	19	obj
19	žalinga	ADJ	12	conj
20	.	PUNCT	2	punct