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:
Initially our design group, along with perhaps one of our technology consultants, would like to meet with a group of Enron people for half a day.?
Postion	Tokenization
1	Initially
2	our
3	design
4	group
5	,
6	along
7	with
8	perhaps
9	one
10	of
11	our
12	technology
13	consultants
14	,
15	would
16	like
17	to
18	meet
19	with
20	a
21	group
22	of
23	Enron
24	people
25	for
26	half
27	a
28	day
29	.?
Position	Tokenization	UPOS	Head	Deprel
1	Initially	ADV	16	advmod
2	our	PRON	4	nmod:poss
3	design	NOUN	4	compound
4	group	NOUN	16	nsubj
5	,	PUNCT	4	punct
6	along	ADP	9	case
7	with	ADP	9	case
8	perhaps	ADV	9	advmod
9	one	NUM	4	nmod
10	of	ADP	13	case
11	our	PRON	13	nmod:poss
12	technology	NOUN	13	compound
13	consultants	NOUN	9	nmod
14	,	PUNCT	16	punct
15	would	AUX	16	aux
16	like	VERB	0	root
17	to	PART	18	mark
18	meet	VERB	16	xcomp
19	with	ADP	21	case
20	a	DET	21	det
21	group	NOUN	18	obl
22	of	ADP	24	case
23	Enron	PROPN	24	compound
24	people	NOUN	21	nmod
25	for	ADP	28	case
26	half	DET	28	det:predet
27	a	DET	28	det
28	day	NOUN	18	obl
29	.?	PUNCT	16	punct