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:
Stan may also bring the letter up orally next time he's on the phonne with Gibson or Kyle as an example of how not to handle this situation.
Postion	Tokenization
1	Stan
2	may
3	also
4	bring
5	the
6	letter
7	up
8	orally
9	next
10	time
11	he's
12	he
13	's
14	on
15	the
16	phonne
17	with
18	Gibson
19	or
20	Kyle
21	as
22	an
23	example
24	of
25	how
26	not
27	to
28	handle
29	this
30	situation
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Stan	PROPN	4	nsubj
2	may	AUX	4	aux
3	also	ADV	4	advmod
4	bring	VERB	0	root
5	the	DET	6	det
6	letter	NOUN	4	obj
7	up	ADP	4	compound:prt
8	orally	ADV	4	advmod
9	next	ADJ	10	amod
10	time	NOUN	4	obl:tmod
11	he's	_	None	_
12	he	PRON	15	nsubj
13	's	AUX	15	cop
14	on	ADP	15	case
15	the	DET	15	det
16	phonne	NOUN	10	acl:relcl
17	with	ADP	17	case
18	Gibson	PROPN	15	obl
19	or	CCONJ	19	cc
20	Kyle	PROPN	17	conj
21	as	ADP	22	case
22	an	DET	22	det
23	example	NOUN	4	obl
24	of	SCONJ	27	mark
25	how	SCONJ	27	mark
26	not	ADV	27	advmod
27	to	PART	27	mark
28	handle	VERB	22	acl
29	this	DET	29	det
30	situation	NOUN	27	obj
31	.	PUNCT	4	punct