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 was not happy with the way they looked, very wavy, uneven edges, and with the exception of 1, there is a dip in the center of each nail.
Postion	Tokenization
1	I
2	was
3	not
4	happy
5	with
6	the
7	way
8	they
9	looked
10	,
11	very
12	wavy
13	,
14	uneven
15	edges
16	,
17	and
18	with
19	the
20	exception
21	of
22	1
23	,
24	there
25	is
26	a
27	dip
28	in
29	the
30	center
31	of
32	each
33	nail
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	was	AUX	4	cop
3	not	PART	4	advmod
4	happy	ADJ	0	root
5	with	ADP	7	case
6	the	DET	7	det
7	way	NOUN	4	obl
8	they	PRON	9	nsubj
9	looked	VERB	7	acl:relcl
10	,	PUNCT	12	punct
11	very	ADV	12	advmod
12	wavy	ADJ	9	appos
13	,	PUNCT	15	punct
14	uneven	ADJ	15	amod
15	edges	NOUN	12	conj
16	,	PUNCT	25	punct
17	and	CCONJ	25	cc
18	with	ADP	20	case
19	the	DET	20	det
20	exception	NOUN	25	obl
21	of	ADP	22	case
22	1	NUM	20	nmod
23	,	PUNCT	25	punct
24	there	PRON	25	expl
25	is	VERB	12	conj
26	a	DET	27	det
27	dip	NOUN	25	nsubj
28	in	ADP	30	case
29	the	DET	30	det
30	center	NOUN	27	nmod
31	of	ADP	33	case
32	each	DET	33	det
33	nail	NOUN	30	nmod
34	.	PUNCT	15	punct