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:
Our project manager (Scott Laidlaw) and engineer (Harry Okabayashi) want to issue a tasking letter to procure engineering services on this project to support the ENA work.
Postion	Tokenization
1	Our
2	project
3	manager
4	(
5	Scott
6	Laidlaw
7	)
8	and
9	engineer
10	(
11	Harry
12	Okabayashi
13	)
14	want
15	to
16	issue
17	a
18	tasking
19	letter
20	to
21	procure
22	engineering
23	services
24	on
25	this
26	project
27	to
28	support
29	the
30	ENA
31	work
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Our	PRON	3	nmod:poss
2	project	NOUN	3	compound
3	manager	NOUN	14	nsubj
4	(	PUNCT	5	punct
5	Scott	PROPN	3	appos
6	Laidlaw	PROPN	5	flat
7	)	PUNCT	5	punct
8	and	CCONJ	9	cc
9	engineer	NOUN	3	conj
10	(	PUNCT	11	punct
11	Harry	PROPN	9	appos
12	Okabayashi	PROPN	11	flat
13	)	PUNCT	11	punct
14	want	VERB	0	root
15	to	PART	16	mark
16	issue	VERB	14	xcomp
17	a	DET	19	det
18	tasking	NOUN	19	compound
19	letter	NOUN	16	obj
20	to	PART	21	mark
21	procure	VERB	16	advcl
22	engineering	NOUN	23	compound
23	services	NOUN	21	obj
24	on	ADP	26	case
25	this	DET	26	det
26	project	NOUN	21	obl
27	to	PART	28	mark
28	support	VERB	21	advcl
29	the	DET	31	det
30	ENA	PROPN	31	compound
31	work	NOUN	28	obj
32	.	PUNCT	14	punct