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:
Please send David Lund copies of our standard corporate services agreement and the standard assignment letter (use Bridgeline example -- with and without non-compete).
Postion	Tokenization
1	Please
2	send
3	David
4	Lund
5	copies
6	of
7	our
8	standard
9	corporate
10	services
11	agreement
12	and
13	the
14	standard
15	assignment
16	letter
17	(
18	use
19	Bridgeline
20	example
21	--
22	with
23	and
24	without
25	non-compete
26	)
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Please	INTJ	2	discourse
2	send	VERB	0	root
3	David	PROPN	2	iobj
4	Lund	PROPN	3	flat
5	copies	NOUN	2	obj
6	of	ADP	11	case
7	our	PRON	11	nmod:poss
8	standard	ADJ	11	amod
9	corporate	ADJ	10	amod
10	services	NOUN	11	compound
11	agreement	NOUN	5	nmod
12	and	CCONJ	16	cc
13	the	DET	16	det
14	standard	ADJ	16	amod
15	assignment	NOUN	16	compound
16	letter	NOUN	11	conj
17	(	PUNCT	18	punct
18	use	VERB	5	parataxis
19	Bridgeline	PROPN	20	compound
20	example	NOUN	18	obj
21	--	PUNCT	18	punct
22	with	ADP	25	case
23	and	CCONJ	24	cc
24	without	ADP	22	conj
25	non-compete	NOUN	18	obl
26	)	PUNCT	18	punct
27	.	PUNCT	2	punct