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 guess I'm extremely fortunate that I received a scholarship which paid about 800f my course fees through my degree.
Postion	Tokenization
1	I
2	guess
3	I'm
4	I
5	'm
6	extremely
7	fortunate
8	that
9	I
10	received
11	a
12	scholarship
13	which
14	paid
15	about
16	800
17	f
18	my
19	course
20	fees
21	through
22	my
23	degree
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	I'm	_	None	_
4	I	PRON	6	nsubj
5	'm	AUX	6	cop
6	extremely	ADV	6	advmod
7	fortunate	ADJ	2	ccomp
8	that	SCONJ	9	mark
9	I	PRON	9	nsubj
10	received	VERB	6	ccomp
11	a	DET	11	det
12	scholarship	NOUN	9	obj
13	which	PRON	13	nsubj
14	paid	VERB	11	acl:relcl
15	about	ADV	15	advmod
16	800	NUM	13	obj
17	f	ADP	19	case
18	my	PRON	19	nmod:poss
19	course	NOUN	19	compound
20	fees	NOUN	15	nmod
21	through	ADP	22	case
22	my	PRON	22	nmod:poss
23	degree	NOUN	13	obl
24	.	PUNCT	2	punct