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 have been a friend and customer of Signs of Saltford for well over 12 years now and I also became their website supplier some 3 years ago.
Postion	Tokenization
1	I
2	have
3	been
4	a
5	friend
6	and
7	customer
8	of
9	Signs
10	of
11	Saltford
12	for
13	well
14	over
15	12
16	years
17	now
18	and
19	I
20	also
21	became
22	their
23	website
24	supplier
25	some
26	3
27	years
28	ago
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	5	nsubj
2	have	AUX	5	aux
3	been	AUX	5	cop
4	a	DET	5	det
5	friend	NOUN	0	root
6	and	CCONJ	7	cc
7	customer	NOUN	5	conj
8	of	ADP	9	case
9	Signs	PROPN	5	nmod
10	of	ADP	11	case
11	Saltford	PROPN	9	nmod
12	for	ADP	16	case
13	well	ADV	16	advmod
14	over	ADP	16	case
15	12	NUM	16	nummod
16	years	NOUN	5	obl
17	now	ADV	5	advmod
18	and	CCONJ	21	cc
19	I	PRON	24	nsubj
20	also	ADV	24	advmod
21	became	VERB	5	conj
22	their	PRON	24	nmod:poss
23	website	NOUN	24	compound
24	supplier	NOUN	21	obj
25	some	DET	27	det
26	3	NUM	27	nummod
27	years	NOUN	28	obl:npmod
28	ago	ADV	21	advmod
29	.	PUNCT	5	punct