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 could easily go to Nordstrom for my designer jeans and pay the same price, but I go to the Garment District for their service.
Postion	Tokenization
1	I
2	could
3	easily
4	go
5	to
6	Nordstrom
7	for
8	my
9	designer
10	jeans
11	and
12	pay
13	the
14	same
15	price
16	,
17	but
18	I
19	go
20	to
21	the
22	Garment
23	District
24	for
25	their
26	service
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	could	AUX	4	aux
3	easily	ADV	4	advmod
4	go	VERB	0	root
5	to	ADP	6	case
6	Nordstrom	PROPN	4	obl
7	for	ADP	10	case
8	my	PRON	10	nmod:poss
9	designer	NOUN	10	compound
10	jeans	NOUN	4	obl
11	and	CCONJ	12	cc
12	pay	VERB	4	conj
13	the	DET	15	det
14	same	ADJ	15	amod
15	price	NOUN	12	obj
16	,	PUNCT	19	punct
17	but	CCONJ	19	cc
18	I	PRON	19	nsubj
19	go	VERB	4	conj
20	to	ADP	23	case
21	the	DET	23	det
22	Garment	PROPN	23	compound
23	District	PROPN	19	obl
24	for	ADP	26	case
25	their	PRON	26	nmod:poss
26	service	NOUN	19	obl
27	.	PUNCT	4	punct