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:
They did a very bad job with my hair and were extremely rude when I went back to ask them why it didn't work for my hair.
Postion	Tokenization
1	They
2	did
3	a
4	very
5	bad
6	job
7	with
8	my
9	hair
10	and
11	were
12	extremely
13	rude
14	when
15	I
16	went
17	back
18	to
19	ask
20	them
21	why
22	it
23	didn't
24	did
25	n't
26	work
27	for
28	my
29	hair
30	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	did	VERB	0	root
3	a	DET	6	det
4	very	ADV	5	advmod
5	bad	ADJ	6	amod
6	job	NOUN	2	obj
7	with	ADP	9	case
8	my	PRON	9	nmod:poss
9	hair	NOUN	2	obl
10	and	CCONJ	13	cc
11	were	AUX	13	cop
12	extremely	ADV	13	advmod
13	rude	ADJ	2	conj
14	when	SCONJ	16	mark
15	I	PRON	16	nsubj
16	went	VERB	13	advcl
17	back	ADV	16	advmod
18	to	PART	19	mark
19	ask	VERB	16	advcl
20	them	PRON	19	obj
21	why	SCONJ	25	mark
22	it	PRON	25	nsubj
23	didn't	_	None	_
24	did	AUX	25	aux
25	n't	PART	25	advmod
26	work	VERB	19	advcl
27	for	ADP	28	case
28	my	PRON	28	nmod:poss
29	hair	NOUN	25	obl
30	.	PUNCT	2	punct