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:
Nigel from Nidd Design has always provided a first class service, from his advice and professionalism to the quality of his design drawings and planning applications.
Postion	Tokenization
1	Nigel
2	from
3	Nidd
4	Design
5	has
6	always
7	provided
8	a
9	first
10	class
11	service
12	,
13	from
14	his
15	advice
16	and
17	professionalism
18	to
19	the
20	quality
21	of
22	his
23	design
24	drawings
25	and
26	planning
27	applications
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Nigel	PROPN	7	nsubj
2	from	ADP	4	case
3	Nidd	PROPN	4	compound
4	Design	PROPN	1	nmod
5	has	AUX	7	aux
6	always	ADV	7	advmod
7	provided	VERB	0	root
8	a	DET	11	det
9	first	ADJ	10	amod
10	class	NOUN	11	compound
11	service	NOUN	7	obj
12	,	PUNCT	7	punct
13	from	ADP	15	case
14	his	PRON	15	nmod:poss
15	advice	NOUN	7	obl
16	and	CCONJ	17	cc
17	professionalism	NOUN	15	conj
18	to	ADP	20	case
19	the	DET	20	det
20	quality	NOUN	7	obl
21	of	ADP	24	case
22	his	PRON	24	nmod:poss
23	design	NOUN	24	compound
24	drawings	NOUN	20	nmod
25	and	CCONJ	27	cc
26	planning	NOUN	27	compound
27	applications	NOUN	24	conj
28	.	PUNCT	7	punct