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 like the fact that he was able to do the specific type of repair I wanted (a reball) and give me the longest warranty and even a lower price.
Postion	Tokenization
1	I
2	just
3	like
4	the
5	fact
6	that
7	he
8	was
9	able
10	to
11	do
12	the
13	specific
14	type
15	of
16	repair
17	I
18	wanted
19	(
20	a
21	reball
22	)
23	and
24	give
25	me
26	the
27	longest
28	warranty
29	and
30	even
31	a
32	lower
33	price
34	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	just	ADV	3	advmod
3	like	VERB	0	root
4	the	DET	5	det
5	fact	NOUN	3	obj
6	that	SCONJ	9	mark
7	he	PRON	9	nsubj
8	was	AUX	9	cop
9	able	ADJ	5	acl
10	to	PART	11	mark
11	do	VERB	9	xcomp
12	the	DET	14	det
13	specific	ADJ	14	amod
14	type	NOUN	11	obj
15	of	ADP	16	case
16	repair	NOUN	14	nmod
17	I	PRON	18	nsubj
18	wanted	VERB	14	acl:relcl
19	(	PUNCT	21	punct
20	a	DET	21	det
21	reball	NOUN	14	appos
22	)	PUNCT	21	punct
23	and	CCONJ	24	cc
24	give	VERB	11	conj
25	me	PRON	24	iobj
26	the	DET	28	det
27	longest	ADJ	28	amod
28	warranty	NOUN	24	obj
29	and	CCONJ	33	cc
30	even	ADV	33	advmod
31	a	DET	33	det
32	lower	ADJ	33	amod
33	price	NOUN	28	conj
34	.	PUNCT	3	punct