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:
We just did a deal for the rest of the month for 10,000/d at meter # 1552 QE-1 @ $4.355 .... can you let me and Robert Lloyd know what the sitara # is?
Postion	Tokenization
1	We
2	just
3	did
4	a
5	deal
6	for
7	the
8	rest
9	of
10	the
11	month
12	for
13	10,000
14	/
15	d
16	at
17	meter
18	#
19	1552
20	QE
21	-
22	1
23	@
24	$
25	4.355
26	....
27	can
28	you
29	let
30	me
31	and
32	Robert
33	Lloyd
34	know
35	what
36	the
37	sitara
38	#
39	is
40	?
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	just	ADV	3	advmod
3	did	VERB	0	root
4	a	DET	5	det
5	deal	NOUN	3	obj
6	for	ADP	8	case
7	the	DET	8	det
8	rest	NOUN	5	nmod
9	of	ADP	11	case
10	the	DET	11	det
11	month	NOUN	8	nmod
12	for	ADP	13	case
13	10,000	NUM	5	nmod
14	/	SYM	15	case
15	d	NOUN	13	nmod
16	at	ADP	20	case
17	meter	NOUN	20	compound
18	#	SYM	20	compound
19	1552	NUM	20	nummod
20	QE	NOUN	13	nmod
21	-	PUNCT	20	punct
22	1	NUM	20	nummod
23	@	ADP	24	case
24	$	SYM	20	nmod
25	4.355	NUM	24	nummod
26	....	PUNCT	3	punct
27	can	AUX	29	aux
28	you	PRON	29	nsubj
29	let	VERB	3	parataxis
30	me	PRON	29	obj
31	and	CCONJ	32	cc
32	Robert	PROPN	30	conj
33	Lloyd	PROPN	32	flat
34	know	VERB	29	xcomp
35	what	PRON	34	ccomp
36	the	DET	38	det
37	sitara	NOUN	38	compound
38	#	SYM	35	nsubj
39	is	AUX	35	cop
40	?	PUNCT	3	punct