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:
He was In his 30s divorced and Had 2 kids.. but we both flirted Horribly with each other.. but neither one of us took the chance and Asked to other on a date. :(
Postion	Tokenization
1	He
2	was
3	In
4	his
5	30s
6	divorced
7	and
8	Had
9	2
10	kids
11	..
12	but
13	we
14	both
15	flirted
16	Horribly
17	with
18	each
19	other
20	..
21	but
22	neither
23	one
24	of
25	us
26	took
27	the
28	chance
29	and
30	Asked
31	to
32	other
33	on
34	a
35	date
36	.
37	:(
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	5	nsubj
2	was	AUX	5	cop
3	In	ADP	5	case
4	his	PRON	5	nmod:poss
5	30s	NOUN	0	root
6	divorced	ADJ	5	conj
7	and	CCONJ	8	cc
8	Had	VERB	5	conj
9	2	NUM	10	nummod
10	kids	NOUN	8	obj
11	..	PUNCT	5	punct
12	but	CCONJ	15	cc
13	we	PRON	15	nsubj
14	both	DET	13	nmod:npmod
15	flirted	VERB	5	conj
16	Horribly	ADV	15	advmod
17	with	ADP	19	case
18	each	DET	19	det
19	other	ADJ	15	obl
20	..	PUNCT	5	punct
21	but	CCONJ	26	cc
22	neither	DET	23	det
23	one	NUM	26	nsubj
24	of	ADP	25	case
25	us	PRON	23	nmod
26	took	VERB	5	conj
27	the	DET	28	det
28	chance	NOUN	26	obj
29	and	CCONJ	30	cc
30	Asked	VERB	26	conj
31	to	ADP	32	case
32	other	ADJ	30	obl
33	on	ADP	35	case
34	a	DET	35	det
35	date	NOUN	30	obl
36	.	PUNCT	5	punct
37	:(	SYM	5	discourse