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:
Although I'll have to drive a little out of my way to go there, I'll gladly do it knowing that since she's been astounding to me once before that she'll always be that way!
Postion	Tokenization
1	Although
2	I'll
3	I
4	'll
5	have
6	to
7	drive
8	a
9	little
10	out
11	of
12	my
13	way
14	to
15	go
16	there
17	,
18	I'll
19	I
20	'll
21	gladly
22	do
23	it
24	knowing
25	that
26	since
27	she's
28	she
29	's
30	been
31	astounding
32	to
33	me
34	once
35	before
36	that
37	she'll
38	she
39	'll
40	always
41	be
42	that
43	way
44	!
Position	Tokenization	UPOS	Head	Deprel
1	Although	SCONJ	4	mark
2	I'll	_	None	_
3	I	PRON	4	nsubj
4	'll	AUX	4	aux
5	have	VERB	20	advcl
6	to	PART	6	mark
7	drive	VERB	4	xcomp
8	a	DET	8	det
9	little	ADJ	12	nmod:npmod
10	out	ADP	12	case
11	of	ADP	12	case
12	my	PRON	12	nmod:poss
13	way	NOUN	6	obl
14	to	PART	14	mark
15	go	VERB	6	advcl
16	there	ADV	14	advmod
17	,	PUNCT	20	punct
18	I'll	_	None	_
19	I	PRON	20	nsubj
20	'll	AUX	20	aux
21	gladly	ADV	20	advmod
22	do	VERB	0	root
23	it	PRON	20	obj
24	knowing	VERB	20	advcl
25	that	SCONJ	39	mark
26	since	SCONJ	28	mark
27	she's	_	None	_
28	she	PRON	28	nsubj:pass
29	's	AUX	28	aux:pass
30	been	AUX	28	cop
31	astounding	ADJ	39	advcl
32	to	ADP	30	case
33	me	PRON	28	obl
34	once	ADV	28	advmod
35	before	ADP	33	case
36	that	PRON	28	obl
37	she'll	_	None	_
38	she	PRON	39	nsubj
39	'll	AUX	39	aux
40	always	ADV	39	advmod
41	be	AUX	39	cop
42	that	DET	39	det
43	way	NOUN	22	ccomp
44	!	PUNCT	20	punct