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 called and asked about the price for hair updo and the receptionist or owner who aswered the phone refused to tell me, or even just give me an approximate price range.
Postion	Tokenization
1	I
2	called
3	and
4	asked
5	about
6	the
7	price
8	for
9	hair
10	updo
11	and
12	the
13	receptionist
14	or
15	owner
16	who
17	aswered
18	the
19	phone
20	refused
21	to
22	tell
23	me
24	,
25	or
26	even
27	just
28	give
29	me
30	an
31	approximate
32	price
33	range
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	called	VERB	0	root
3	and	CCONJ	4	cc
4	asked	VERB	2	conj
5	about	ADP	7	case
6	the	DET	7	det
7	price	NOUN	4	obl
8	for	ADP	10	case
9	hair	NOUN	10	compound
10	updo	NOUN	7	nmod
11	and	CCONJ	20	cc
12	the	DET	13	det
13	receptionist	NOUN	20	nsubj
14	or	CCONJ	15	cc
15	owner	NOUN	13	conj
16	who	PRON	17	nsubj
17	aswered	VERB	13	acl:relcl
18	the	DET	19	det
19	phone	NOUN	17	obj
20	refused	VERB	2	conj
21	to	PART	22	mark
22	tell	VERB	20	xcomp
23	me	PRON	22	obj
24	,	PUNCT	28	punct
25	or	CCONJ	28	cc
26	even	ADV	28	advmod
27	just	ADV	28	advmod
28	give	VERB	22	conj
29	me	PRON	28	iobj
30	an	DET	33	det
31	approximate	ADJ	33	amod
32	price	NOUN	33	compound
33	range	NOUN	28	obj
34	.	PUNCT	2	punct