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:
If you think that May 1 may be difficult due to receiving the parts/materials on a timely basis because of the issues that vendors may have with us because of recent Enron events, please let me know.
Postion	Tokenization
1	If
2	you
3	think
4	that
5	May
6	1
7	may
8	be
9	difficult
10	due
11	to
12	receiving
13	the
14	parts
15	/
16	materials
17	on
18	a
19	timely
20	basis
21	because
22	of
23	the
24	issues
25	that
26	vendors
27	may
28	have
29	with
30	us
31	because
32	of
33	recent
34	Enron
35	events
36	,
37	please
38	let
39	me
40	know
41	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	think	VERB	38	advcl
4	that	SCONJ	9	mark
5	May	PROPN	9	nsubj
6	1	NUM	5	nummod
7	may	AUX	9	aux
8	be	AUX	9	cop
9	difficult	ADJ	3	ccomp
10	due	ADP	12	mark
11	to	SCONJ	10	fixed
12	receiving	VERB	9	advcl
13	the	DET	14	det
14	parts	NOUN	12	obj
15	/	PUNCT	16	cc
16	materials	NOUN	14	conj
17	on	ADP	20	case
18	a	DET	20	det
19	timely	ADJ	20	amod
20	basis	NOUN	12	obl
21	because	ADP	24	case
22	of	ADP	21	fixed
23	the	DET	24	det
24	issues	NOUN	9	obl
25	that	PRON	28	obj
26	vendors	VERB	28	nsubj
27	may	AUX	28	aux
28	have	VERB	24	acl:relcl
29	with	ADP	30	case
30	us	PRON	28	obl
31	because	ADP	35	case
32	of	ADP	31	fixed
33	recent	ADJ	35	amod
34	Enron	PROPN	35	compound
35	events	NOUN	28	obl
36	,	PUNCT	38	punct
37	please	INTJ	38	discourse
38	let	VERB	0	root
39	me	PRON	38	obj
40	know	VERB	38	xcomp
41	.	PUNCT	38	punct