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:
Okay, I'm new to this forum and really don't like Bush, so my view point is slanted and I admit that.
Postion	Tokenization
1	Okay
2	,
3	I'm
4	I
5	'm
6	new
7	to
8	this
9	forum
10	and
11	really
12	don't
13	do
14	n't
15	like
16	Bush
17	,
18	so
19	my
20	view
21	point
22	is
23	slanted
24	and
25	I
26	admit
27	that
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Okay	INTJ	5	discourse
2	,	PUNCT	5	punct
3	I'm	_	None	_
4	I	PRON	5	nsubj
5	'm	AUX	5	cop
6	new	ADJ	0	root
7	to	ADP	8	case
8	this	DET	8	det
9	forum	NOUN	5	obl
10	and	CCONJ	13	cc
11	really	ADV	13	advmod
12	don't	_	None	_
13	do	AUX	13	aux
14	n't	PART	13	advmod
15	like	VERB	5	conj
16	Bush	PROPN	13	obj
17	,	PUNCT	5	punct
18	so	ADV	21	advmod
19	my	PRON	19	nmod:poss
20	view	NOUN	19	compound
21	point	NOUN	21	nsubj
22	is	AUX	21	cop
23	slanted	ADJ	5	ccomp
24	and	CCONJ	24	cc
25	I	PRON	24	nsubj
26	admit	VERB	21	conj
27	that	PRON	24	obj
28	.	PUNCT	5	punct