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:
This entity was created in 2000 for the acquistion of WarpSpeed Communications (now Enron WarpSpeed Services, Inc. 83N), and then dissolved upon completion of merger.
Postion	Tokenization
1	This
2	entity
3	was
4	created
5	in
6	2000
7	for
8	the
9	acquistion
10	of
11	WarpSpeed
12	Communications
13	(
14	now
15	Enron
16	WarpSpeed
17	Services
18	,
19	Inc.
20	83N
21	)
22	,
23	and
24	then
25	dissolved
26	upon
27	completion
28	of
29	merger
30	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	entity	NOUN	4	nsubj:pass
3	was	AUX	4	aux:pass
4	created	VERB	0	root
5	in	ADP	6	case
6	2000	NUM	4	obl
7	for	ADP	9	case
8	the	DET	9	det
9	acquistion	NOUN	4	obl
10	of	ADP	12	case
11	WarpSpeed	PROPN	12	compound
12	Communications	PROPN	9	nmod
13	(	PUNCT	12	punct
14	now	ADV	20	advmod
15	Enron	PROPN	20	compound
16	WarpSpeed	PROPN	20	compound
17	Services	PROPN	20	compound
18	,	PUNCT	20	punct
19	Inc.	PROPN	20	appos
20	83N	NOUN	12	parataxis
21	)	PUNCT	12	punct
22	,	PUNCT	25	punct
23	and	CCONJ	25	cc
24	then	ADV	25	advmod
25	dissolved	VERB	4	conj
26	upon	ADP	27	case
27	completion	NOUN	25	obl
28	of	ADP	29	case
29	merger	NOUN	27	nmod
30	.	PUNCT	4	punct