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:
If I can get a few minutes with Mark H. today, I'm going to propose that I speak to Stan Klimberg about getting this signed before Thursday's meeting with LIPA.
Postion	Tokenization
1	If
2	I
3	can
4	get
5	a
6	few
7	minutes
8	with
9	Mark
10	H.
11	today
12	,
13	I'm
14	I
15	'm
16	going
17	to
18	propose
19	that
20	I
21	speak
22	to
23	Stan
24	Klimberg
25	about
26	getting
27	this
28	signed
29	before
30	Thursday's
31	Thursday
32	's
33	meeting
34	with
35	LIPA
36	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	4	mark
2	I	PRON	4	nsubj
3	can	AUX	4	aux
4	get	VERB	15	advcl
5	a	DET	7	det
6	few	ADJ	7	amod
7	minutes	NOUN	4	obj
8	with	ADP	9	case
9	Mark	PROPN	7	nmod
10	H.	PROPN	9	flat
11	today	NOUN	4	obl:tmod
12	,	PUNCT	15	punct
13	I'm	_	None	_
14	I	PRON	15	nsubj
15	'm	AUX	15	aux
16	going	VERB	0	root
17	to	PART	17	mark
18	propose	VERB	15	xcomp
19	that	SCONJ	20	mark
20	I	PRON	20	nsubj
21	speak	VERB	17	ccomp
22	to	ADP	22	case
23	Stan	PROPN	20	obl
24	Klimberg	PROPN	22	flat
25	about	SCONJ	25	mark
26	getting	VERB	20	advcl
27	this	PRON	25	obj
28	signed	VERB	25	xcomp
29	before	ADP	31	case
30	Thursday's	_	None	_
31	Thursday	PROPN	31	nmod:poss
32	's	PART	29	case
33	meeting	NOUN	25	obl
34	with	ADP	33	case
35	LIPA	NOUN	31	nmod
36	.	PUNCT	15	punct