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 didn't think I'd be awarded one, but I received the Dux Litterarum award at high school, so my chances were probably better than I thought they were.
Postion	Tokenization
1	I
2	didn't
3	did
4	n't
5	think
6	I'd
7	I
8	'd
9	be
10	awarded
11	one
12	,
13	but
14	I
15	received
16	the
17	Dux
18	Litterarum
19	award
20	at
21	high
22	school
23	,
24	so
25	my
26	chances
27	were
28	probably
29	better
30	than
31	I
32	thought
33	they
34	were
35	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	didn't	_	None	_
3	did	AUX	4	aux
4	n't	PART	4	advmod
5	think	VERB	0	root
6	I'd	_	None	_
7	I	PRON	8	nsubj:pass
8	'd	AUX	8	aux
9	be	AUX	8	aux:pass
10	awarded	VERB	4	ccomp
11	one	NUM	8	obj
12	,	PUNCT	13	punct
13	but	CCONJ	13	cc
14	I	PRON	13	nsubj
15	received	VERB	4	conj
16	the	DET	17	det
17	Dux	PROPN	16	compound
18	Litterarum	PROPN	17	compound
19	award	NOUN	13	obj
20	at	ADP	20	case
21	high	ADJ	20	amod
22	school	NOUN	13	obl
23	,	PUNCT	13	punct
24	so	ADV	27	advmod
25	my	PRON	24	nmod:poss
26	chances	NOUN	27	nsubj
27	were	AUX	27	cop
28	probably	ADV	27	advmod
29	better	ADJ	13	parataxis
30	than	SCONJ	30	mark
31	I	PRON	30	nsubj
32	thought	VERB	27	advcl
33	they	PRON	32	nsubj
34	were	VERB	30	ccomp
35	.	PUNCT	4	punct