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:
As it stands, MKM and I will probably bring it up with Sommer in OK City and strongly suggest the importance of coordinated communication to the producers.
Postion	Tokenization
1	As
2	it
3	stands
4	,
5	MKM
6	and
7	I
8	will
9	probably
10	bring
11	it
12	up
13	with
14	Sommer
15	in
16	OK
17	City
18	and
19	strongly
20	suggest
21	the
22	importance
23	of
24	coordinated
25	communication
26	to
27	the
28	producers
29	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	3	mark
2	it	PRON	3	nsubj
3	stands	VERB	10	advcl
4	,	PUNCT	10	punct
5	MKM	PROPN	10	nsubj
6	and	CCONJ	7	cc
7	I	PRON	5	conj
8	will	AUX	10	aux
9	probably	ADV	10	advmod
10	bring	VERB	0	root
11	it	PRON	10	obj
12	up	ADP	10	compound:prt
13	with	ADP	14	case
14	Sommer	PROPN	10	obl
15	in	ADP	17	case
16	OK	PROPN	17	compound
17	City	PROPN	10	obl
18	and	CCONJ	20	cc
19	strongly	ADV	20	advmod
20	suggest	VERB	10	conj
21	the	DET	22	det
22	importance	NOUN	20	obj
23	of	ADP	25	case
24	coordinated	VERB	25	amod
25	communication	NOUN	22	nmod
26	to	ADP	28	case
27	the	DET	28	det
28	producers	NOUN	25	nmod
29	.	PUNCT	10	punct