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 text: What I would like to do in this case is get the information to Jeff Davis, who is responsible for Georgia Tech and ask him to get Sungjoo's resume and start a file on him with a notation that you would like to hire him for summer.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	6	obj
2	I	PRON	4	nsubj
3	would	AUX	4	aux
4	like	VERB	10	csubj
5	to	PART	6	mark
6	do	VERB	4	xcomp
7	in	ADP	9	case
8	this	DET	9	det
9	case	NOUN	6	obl
10	is	VERB	0	root
11	get	VERB	10	ccomp
12	the	DET	13	det
13	information	NOUN	11	obj
14	to	ADP	15	case
15	Jeff	PROPN	11	obl
16	Davis	PROPN	15	flat
17	,	PUNCT	15	punct
18	who	PRON	20	nsubj
19	is	AUX	20	cop
20	responsible	ADJ	15	acl:relcl
21	for	ADP	23	case
22	Georgia	PROPN	23	compound
23	Tech	PROPN	20	obl
24	and	CCONJ	25	cc
25	ask	VERB	11	conj
26	him	PRON	25	iobj
27	to	PART	28	mark
28	get	VERB	25	xcomp
29	Sungjoo's	_	None	_
30	Sungjoo	PROPN	31	nmod:poss
31	's	PART	29	case
32	resume	NOUN	28	obj
33	and	CCONJ	33	cc
34	start	VERB	28	conj
35	a	DET	35	det
36	file	NOUN	33	obj
37	on	ADP	37	case
38	him	PRON	35	nmod
39	with	ADP	40	case
40	a	DET	40	det
41	notation	NOUN	35	nmod
42	that	SCONJ	44	mark
43	you	PRON	44	nsubj
44	would	AUX	44	aux
45	like	VERB	40	acl
46	to	PART	46	mark
47	hire	VERB	44	xcomp
48	him	PRON	46	obj
49	for	ADP	49	case
50	summer	NOUN	46	obl
51	.	PUNCT	10	punct