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 just called again and was told that workmanship, not wood, is guaranteed for a year- well in my opinion- the wood split due to a nail which is part of workmanship!
Postion	Tokenization
1	I
2	just
3	called
4	again
5	and
6	was
7	told
8	that
9	workmanship
10	,
11	not
12	wood
13	,
14	is
15	guaranteed
16	for
17	a
18	year
19	-
20	well
21	in
22	my
23	opinion
24	-
25	the
26	wood
27	split
28	due
29	to
30	a
31	nail
32	which
33	is
34	part
35	of
36	workmanship
37	!
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	called	VERB	0	root
4	again	ADV	3	advmod
5	and	CCONJ	7	cc
6	was	AUX	7	aux:pass
7	told	VERB	3	conj
8	that	SCONJ	15	mark
9	workmanship	NOUN	15	nsubj:pass
10	,	PUNCT	12	punct
11	not	ADV	12	advmod
12	wood	NOUN	9	conj
13	,	PUNCT	15	punct
14	is	AUX	15	aux:pass
15	guaranteed	VERB	7	ccomp
16	for	ADP	18	case
17	a	DET	18	det
18	year	NOUN	15	obl
19	-	PUNCT	3	punct
20	well	INTJ	27	discourse
21	in	ADP	23	case
22	my	PRON	23	nmod:poss
23	opinion	NOUN	27	obl
24	-	PUNCT	27	punct
25	the	DET	26	det
26	wood	NOUN	27	nsubj
27	split	VERB	3	parataxis
28	due	ADP	31	case
29	to	ADP	28	fixed
30	a	DET	31	det
31	nail	NOUN	27	obl
32	which	PRON	34	nsubj
33	is	AUX	34	cop
34	part	NOUN	31	acl:relcl
35	of	ADP	36	case
36	workmanship	NOUN	34	nmod
37	!	PUNCT	3	punct