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:
Tina is the driving force of the business and you can be assured that she will endevour to satisfy all your signage requirements at the most cost effective rates.
Postion	Tokenization
1	Tina
2	is
3	the
4	driving
5	force
6	of
7	the
8	business
9	and
10	you
11	can
12	be
13	assured
14	that
15	she
16	will
17	endevour
18	to
19	satisfy
20	all
21	your
22	signage
23	requirements
24	at
25	the
26	most
27	cost
28	effective
29	rates
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Tina	PROPN	5	nsubj
2	is	AUX	5	cop
3	the	DET	5	det
4	driving	VERB	5	amod
5	force	NOUN	0	root
6	of	ADP	8	case
7	the	DET	8	det
8	business	NOUN	5	nmod
9	and	CCONJ	13	cc
10	you	PRON	13	nsubj:pass
11	can	AUX	13	aux
12	be	AUX	13	aux:pass
13	assured	VERB	5	conj
14	that	SCONJ	17	mark
15	she	PRON	17	nsubj
16	will	AUX	17	aux
17	endevour	VERB	13	ccomp
18	to	PART	19	mark
19	satisfy	VERB	17	xcomp
20	all	DET	23	det:predet
21	your	PRON	23	nmod:poss
22	signage	NOUN	23	compound
23	requirements	NOUN	19	obj
24	at	ADP	29	case
25	the	DET	29	det
26	most	ADV	28	advmod
27	cost	NOUN	28	obl:npmod
28	effective	ADJ	29	amod
29	rates	NOUN	19	obl
30	.	PUNCT	5	punct