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:
I thought that since Chonawee has an optimization background, he would be good to have him go to dinner with Dr. Lasdon on Thrusday as well.
Postion	Tokenization
1	I
2	thought
3	that
4	since
5	Chonawee
6	has
7	an
8	optimization
9	background
10	,
11	he
12	would
13	be
14	good
15	to
16	have
17	him
18	go
19	to
20	dinner
21	with
22	Dr.
23	Lasdon
24	on
25	Thrusday
26	as
27	well
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	thought	VERB	0	root
3	that	SCONJ	14	mark
4	since	SCONJ	6	mark
5	Chonawee	PROPN	6	nsubj
6	has	VERB	14	advcl
7	an	DET	9	det
8	optimization	NOUN	9	compound
9	background	NOUN	6	obj
10	,	PUNCT	14	punct
11	he	PRON	14	nsubj
12	would	AUX	14	aux
13	be	AUX	14	cop
14	good	ADJ	2	ccomp
15	to	PART	16	mark
16	have	VERB	14	advcl
17	him	PRON	18	nsubj
18	go	VERB	16	ccomp
19	to	ADP	20	case
20	dinner	NOUN	18	obl
21	with	ADP	22	case
22	Dr.	PROPN	18	obl
23	Lasdon	PROPN	22	flat
24	on	ADP	25	case
25	Thrusday	PROPN	18	obl
26	as	ADV	18	advmod
27	well	ADV	26	fixed
28	.	PUNCT	2	punct