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:
However, having driven with you on several occasions I feel confident you will be able to pass the test with flying colors.
Postion	Tokenization
1	However
2	,
3	having
4	driven
5	with
6	you
7	on
8	several
9	occasions
10	I
11	feel
12	confident
13	you
14	will
15	be
16	able
17	to
18	pass
19	the
20	test
21	with
22	flying
23	colors
24	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	11	advmod
2	,	PUNCT	11	punct
3	having	AUX	4	aux
4	driven	VERB	11	advcl
5	with	ADP	6	case
6	you	PRON	4	obl
7	on	ADP	9	case
8	several	ADJ	9	amod
9	occasions	NOUN	4	obl
10	I	PRON	11	nsubj
11	feel	VERB	0	root
12	confident	ADJ	11	xcomp
13	you	PRON	16	nsubj
14	will	AUX	16	aux
15	be	AUX	16	cop
16	able	ADJ	12	ccomp
17	to	PART	18	mark
18	pass	VERB	16	xcomp
19	the	DET	20	det
20	test	NOUN	18	obj
21	with	ADP	23	case
22	flying	VERB	23	amod
23	colors	NOUN	18	obl
24	.	PUNCT	11	punct