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:
But like i said nothing ever came of It.. the next time I saw him He had told Me he had To get married to a girl Who he worked with becuse he knocked Her Up..
Postion	Tokenization
1	But
2	like
3	i
4	said
5	nothing
6	ever
7	came
8	of
9	It
10	..
11	the
12	next
13	time
14	I
15	saw
16	him
17	He
18	had
19	told
20	Me
21	he
22	had
23	To
24	get
25	married
26	to
27	a
28	girl
29	Who
30	he
31	worked
32	with
33	becuse
34	he
35	knocked
36	Her
37	Up
38	..
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	7	cc
2	like	SCONJ	4	mark
3	i	PRON	4	nsubj
4	said	VERB	7	advcl
5	nothing	PRON	7	nsubj
6	ever	ADV	7	advmod
7	came	VERB	0	root
8	of	ADP	9	case
9	It	PRON	7	obl
10	..	PUNCT	7	punct
11	the	DET	13	det
12	next	ADJ	13	amod
13	time	NOUN	19	obl:tmod
14	I	PRON	15	nsubj
15	saw	VERB	13	acl:relcl
16	him	PRON	15	obj
17	He	PRON	19	nsubj
18	had	AUX	19	aux
19	told	VERB	7	parataxis
20	Me	PRON	19	iobj
21	he	PRON	22	nsubj
22	had	VERB	19	ccomp
23	To	PART	25	mark
24	get	AUX	25	aux:pass
25	married	VERB	22	xcomp
26	to	ADP	28	case
27	a	DET	28	det
28	girl	NOUN	25	obl
29	Who	PRON	31	obl
30	he	PRON	31	nsubj
31	worked	VERB	28	acl:relcl
32	with	ADP	29	case
33	becuse	SCONJ	35	mark
34	he	PRON	35	nsubj
35	knocked	VERB	25	advcl
36	Her	PRON	35	obj
37	Up	ADP	35	compound:prt
38	..	PUNCT	7	punct