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:
Since Enron's employees are assigned an SAP identification numbers (P number) and an HR number, could Enron as a company use these IDs instead of the SS numbers?
Postion	Tokenization
1	Since
2	Enron's
3	Enron
4	's
5	employees
6	are
7	assigned
8	an
9	SAP
10	identification
11	numbers
12	(
13	P
14	number
15	)
16	and
17	an
18	HR
19	number
20	,
21	could
22	Enron
23	as
24	a
25	company
26	use
27	these
28	IDs
29	instead
30	of
31	the
32	SS
33	numbers
34	?
Position	Tokenization	UPOS	Head	Deprel
1	Since	SCONJ	6	mark
2	Enron's	_	None	_
3	Enron	PROPN	4	nmod:poss
4	's	PART	2	case
5	employees	NOUN	6	nsubj:pass
6	are	AUX	6	aux:pass
7	assigned	VERB	25	advcl
8	an	DET	10	det
9	SAP	NOUN	10	compound
10	identification	NOUN	10	compound
11	numbers	NOUN	6	obj
12	(	PUNCT	10	punct
13	P	NOUN	13	compound
14	number	NOUN	10	appos
15	)	PUNCT	10	punct
16	and	CCONJ	18	cc
17	an	DET	18	det
18	HR	NOUN	18	compound
19	number	NOUN	10	conj
20	,	PUNCT	25	punct
21	could	AUX	25	aux
22	Enron	PROPN	25	nsubj
23	as	ADP	24	case
24	a	DET	24	det
25	company	NOUN	21	nmod
26	use	VERB	0	root
27	these	DET	27	det
28	IDs	NOUN	25	obj
29	instead	ADV	32	case
30	of	ADP	28	fixed
31	the	DET	32	det
32	SS	NOUN	32	compound
33	numbers	NOUN	25	obl
34	?	PUNCT	25	punct