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:
The second vendor charged $55 (less than half of what A&E charges) to come and applied that to the price of the repair service (which A&E does not).
Postion	Tokenization
1	The
2	second
3	vendor
4	charged
5	$
6	55
7	(
8	less
9	than
10	half
11	of
12	what
13	A&E
14	charges
15	)
16	to
17	come
18	and
19	applied
20	that
21	to
22	the
23	price
24	of
25	the
26	repair
27	service
28	(
29	which
30	A&E
31	does
32	not
33	)
34	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	second	ADJ	3	amod
3	vendor	NOUN	4	nsubj
4	charged	VERB	0	root
5	$	SYM	4	obj
6	55	NUM	5	nummod
7	(	PUNCT	8	punct
8	less	ADJ	10	advmod
9	than	ADP	8	fixed
10	half	NOUN	5	appos
11	of	SCONJ	12	case
12	what	PRON	10	nmod
13	A&E	PROPN	14	nsubj
14	charges	VERB	12	acl:relcl
15	)	PUNCT	8	punct
16	to	PART	17	mark
17	come	VERB	4	advcl
18	and	CCONJ	19	cc
19	applied	VERB	4	conj
20	that	PRON	19	obj
21	to	ADP	23	case
22	the	DET	23	det
23	price	NOUN	19	obl
24	of	ADP	27	case
25	the	DET	27	det
26	repair	NOUN	27	compound
27	service	NOUN	23	nmod
28	(	PUNCT	31	punct
29	which	PRON	31	obj
30	A&E	PROPN	31	nsubj
31	does	AUX	19	parataxis
32	not	PART	31	advmod
33	)	PUNCT	31	punct
34	.	PUNCT	4	punct