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 text: lol, last news message came out kinda weird, i was trying to browse the japanese website while i changed the text iwas supposed to put up but i ran out of time so there are no real pictures yet... but i'll add the links soon sry.
Position	Tokenization	UPOS	Head	Deprel
1	lol	INTJ	6	discourse
2	,	PUNCT	6	punct
3	last	ADJ	5	amod
4	news	NOUN	5	compound
5	message	NOUN	6	nsubj
6	came	VERB	0	root
7	out	ADV	6	compound:prt
8	kinda	ADV	9	advmod
9	weird	ADJ	6	xcomp
10	,	PUNCT	6	punct
11	i	PRON	13	nsubj
12	was	AUX	13	aux
13	trying	VERB	6	parataxis
14	to	PART	15	mark
15	browse	VERB	13	xcomp
16	the	DET	18	det
17	japanese	ADJ	18	amod
18	website	NOUN	15	obj
19	while	SCONJ	21	mark
20	i	PRON	21	nsubj
21	changed	VERB	15	advcl
22	the	DET	23	det
23	text	NOUN	21	obj
24	i	PRON	26	nsubj
25	was	AUX	26	aux
26	supposed	VERB	23	acl:relcl
27	to	PART	28	mark
28	put	VERB	26	xcomp
29	up	ADV	28	advmod
30	but	CCONJ	32	cc
31	i	PRON	32	nsubj
32	ran	VERB	13	conj
33	out	ADP	32	compound:prt
34	of	ADP	35	case
35	time	NOUN	32	obl
36	so	ADV	38	advmod
37	there	PRON	38	expl
38	are	VERB	32	conj
39	no	DET	41	det
40	real	ADJ	41	amod
41	pictures	NOUN	38	nsubj
42	yet	ADV	38	advmod
43	...	PUNCT	13	punct
44	but	CCONJ	47	cc
45	i'll	_	None	_
46	i	PRON	47	nsubj
47	'll	AUX	47	aux
48	add	VERB	13	conj
49	the	DET	49	det
50	links	NOUN	47	obj
51	soon	ADV	47	advmod
52	sry	INTJ	47	discourse
53	.	PUNCT	6	punct