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:
Ideally this group would consist of four to six people from finance, legal, and operations so that we get good cross-functional feedback about our services.?
Postion	Tokenization
1	Ideally
2	this
3	group
4	would
5	consist
6	of
7	four
8	to
9	six
10	people
11	from
12	finance
13	,
14	legal
15	,
16	and
17	operations
18	so
19	that
20	we
21	get
22	good
23	cross-functional
24	feedback
25	about
26	our
27	services
28	.?
Position	Tokenization	UPOS	Head	Deprel
1	Ideally	ADV	5	advmod
2	this	DET	3	det
3	group	NOUN	5	nsubj
4	would	AUX	5	aux
5	consist	VERB	0	root
6	of	ADP	10	case
7	four	NUM	10	nummod
8	to	ADP	9	case
9	six	NUM	7	nmod
10	people	NOUN	5	obl
11	from	ADP	12	case
12	finance	NOUN	10	nmod
13	,	PUNCT	14	punct
14	legal	NOUN	12	conj
15	,	PUNCT	17	punct
16	and	CCONJ	17	cc
17	operations	NOUN	12	conj
18	so	SCONJ	21	mark
19	that	SCONJ	18	fixed
20	we	PRON	21	nsubj
21	get	VERB	5	advcl
22	good	ADJ	24	amod
23	cross-functional	ADJ	24	amod
24	feedback	NOUN	21	obj
25	about	ADP	27	case
26	our	PRON	27	nmod:poss
27	services	NOUN	24	nmod
28	.?	PUNCT	5	punct