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's always like "ohh you must be so happy to finally have yours, I wish I had mine!" and he isn't even joking.
Postion	Tokenization
1	He's
2	He
3	's
4	always
5	like
6	"
7	ohh
8	you
9	must
10	be
11	so
12	happy
13	to
14	finally
15	have
16	yours
17	,
18	I
19	wish
20	I
21	had
22	mine
23	!
24	"
25	and
26	he
27	isn't
28	is
29	n't
30	even
31	joking
32	.
Position	Tokenization	UPOS	Head	Deprel
1	He's	_	None	_
2	He	PRON	3	nsubj
3	's	AUX	3	cop
4	always	ADV	0	root
5	like	ADP	11	mark
6	"	PUNCT	11	punct
7	ohh	INTJ	11	discourse
8	you	PRON	11	nsubj
9	must	AUX	11	aux
10	be	AUX	11	cop
11	so	ADV	11	advmod
12	happy	ADJ	3	compound:prt
13	to	PART	14	mark
14	finally	ADV	14	advmod
15	have	VERB	11	advcl
16	yours	PRON	14	obj
17	,	PUNCT	11	punct
18	I	PRON	18	nsubj
19	wish	VERB	11	parataxis
20	I	PRON	20	nsubj
21	had	VERB	18	ccomp
22	mine	PRON	20	obj
23	!	PUNCT	11	punct
24	"	PUNCT	11	punct
25	and	CCONJ	29	cc
26	he	PRON	29	nsubj
27	isn't	_	None	_
28	is	AUX	29	aux
29	n't	PART	29	advmod
30	even	ADV	29	advmod
31	joking	VERB	3	conj
32	.	PUNCT	3	punct