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:
Hi, i'm looking to take myself and my best friend and his girl friend and this girl i really like out to dinner for my birthday.
Postion	Tokenization
1	Hi
2	,
3	i'm
4	i
5	'm
6	looking
7	to
8	take
9	myself
10	and
11	my
12	best
13	friend
14	and
15	his
16	girl
17	friend
18	and
19	this
20	girl
21	i
22	really
23	like
24	out
25	to
26	dinner
27	for
28	my
29	birthday
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Hi	INTJ	5	discourse
2	,	PUNCT	5	punct
3	i'm	_	None	_
4	i	PRON	5	nsubj
5	'm	AUX	5	aux
6	looking	VERB	0	root
7	to	PART	7	mark
8	take	VERB	5	xcomp
9	myself	PRON	7	obj
10	and	CCONJ	12	cc
11	my	PRON	12	nmod:poss
12	best	ADJ	12	amod
13	friend	NOUN	8	conj
14	and	CCONJ	16	cc
15	his	PRON	16	nmod:poss
16	girl	NOUN	16	compound
17	friend	NOUN	8	conj
18	and	CCONJ	19	cc
19	this	DET	19	det
20	girl	NOUN	8	conj
21	i	PRON	22	nsubj
22	really	ADV	22	advmod
23	like	VERB	19	acl:relcl
24	out	ADP	7	compound:prt
25	to	ADP	25	case
26	dinner	NOUN	7	obl
27	for	ADP	28	case
28	my	PRON	28	nmod:poss
29	birthday	NOUN	7	obl
30	.	PUNCT	5	punct