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:
The real focus of the meeting will be on how we should build these services to meet the needs of businesses operating in B2B marketplaces.?
Postion	Tokenization
1	The
2	real
3	focus
4	of
5	the
6	meeting
7	will
8	be
9	on
10	how
11	we
12	should
13	build
14	these
15	services
16	to
17	meet
18	the
19	needs
20	of
21	businesses
22	operating
23	in
24	B2B
25	marketplaces
26	.?
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	real	ADJ	3	amod
3	focus	NOUN	13	nsubj
4	of	ADP	6	case
5	the	DET	6	det
6	meeting	NOUN	3	nmod
7	will	AUX	13	aux
8	be	AUX	13	cop
9	on	SCONJ	13	mark
10	how	SCONJ	13	mark
11	we	PRON	13	nsubj
12	should	AUX	13	aux
13	build	VERB	0	root
14	these	DET	15	det
15	services	NOUN	13	obj
16	to	PART	17	mark
17	meet	VERB	13	advcl
18	the	DET	19	det
19	needs	NOUN	17	obj
20	of	ADP	21	case
21	businesses	NOUN	19	nmod
22	operating	VERB	21	acl
23	in	ADP	25	case
24	B2B	NOUN	25	compound
25	marketplaces	NOUN	22	obl
26	.?	PUNCT	13	punct