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 appreciate the quick, good service and the reasonable prices and will definitely use American Pride Irrigation & Landscaping again.
Postion	Tokenization
1	I
2	appreciate
3	the
4	quick
5	,
6	good
7	service
8	and
9	the
10	reasonable
11	prices
12	and
13	will
14	definitely
15	use
16	American
17	Pride
18	Irrigation
19	&
20	Landscaping
21	again
22	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	appreciate	VERB	0	root
3	the	DET	7	det
4	quick	ADJ	7	amod
5	,	PUNCT	7	punct
6	good	ADJ	7	amod
7	service	NOUN	2	obj
8	and	CCONJ	11	cc
9	the	DET	11	det
10	reasonable	ADJ	11	amod
11	prices	NOUN	7	conj
12	and	CCONJ	15	cc
13	will	AUX	15	aux
14	definitely	ADV	15	advmod
15	use	VERB	2	conj
16	American	PROPN	17	compound
17	Pride	PROPN	18	compound
18	Irrigation	PROPN	15	obj
19	&	CCONJ	20	cc
20	Landscaping	PROPN	18	conj
21	again	ADV	15	advmod
22	.	PUNCT	2	punct