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 text: Chuck and Gretchen were very positive, and when Alan's refused to work on my bike, Chuck came right out and saw the problem and did what Alan's mechanic wouldn't do.
Position	Tokenization	UPOS	Head	Deprel
1	Chuck	PROPN	6	nsubj
2	and	CCONJ	3	cc
3	Gretchen	PROPN	1	conj
4	were	AUX	6	cop
5	very	ADV	6	advmod
6	positive	ADJ	0	root
7	,	PUNCT	20	punct
8	and	CCONJ	20	cc
9	when	SCONJ	12	mark
10	Alan's	_	None	_
11	Alan	PROPN	12	nsubj
12	's	PART	10	case
13	refused	VERB	20	advcl
14	to	PART	14	mark
15	work	VERB	12	xcomp
16	on	ADP	17	case
17	my	PRON	17	nmod:poss
18	bike	NOUN	14	obl
19	,	PUNCT	20	punct
20	Chuck	PROPN	20	nsubj
21	came	VERB	6	conj
22	right	ADV	22	advmod
23	out	ADV	20	advmod
24	and	CCONJ	24	cc
25	saw	VERB	20	conj
26	the	DET	26	det
27	problem	NOUN	24	obj
28	and	CCONJ	28	cc
29	did	VERB	20	conj
30	what	PRON	28	obj
31	Alan's	_	None	_
32	Alan	PROPN	32	nmod:poss
33	's	PART	30	case
34	mechanic	NOUN	35	nsubj
35	wouldn't	_	None	_
36	would	AUX	35	aux
37	n't	PART	35	advmod
38	do	VERB	29	acl:relcl
39	.	PUNCT	6	punct