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:
the economy is down and when enron collapses, the energy industry is going to be in a world of hurt.
Postion	Tokenization
1	the
2	economy
3	is
4	down
5	and
6	when
7	enron
8	collapses
9	,
10	the
11	energy
12	industry
13	is
14	going
15	to
16	be
17	in
18	a
19	world
20	of
21	hurt
22	.
Position	Tokenization	UPOS	Head	Deprel
1	the	DET	2	det
2	economy	NOUN	4	nsubj
3	is	AUX	4	cop
4	down	ADV	0	root
5	and	CCONJ	14	cc
6	when	SCONJ	8	mark
7	enron	PROPN	8	nsubj
8	collapses	VERB	14	advcl
9	,	PUNCT	14	punct
10	the	DET	12	det
11	energy	NOUN	12	compound
12	industry	NOUN	14	nsubj
13	is	AUX	14	aux
14	going	VERB	4	conj
15	to	PART	19	mark
16	be	AUX	19	cop
17	in	ADP	19	case
18	a	DET	19	det
19	world	NOUN	14	xcomp
20	of	ADP	21	case
21	hurt	NOUN	19	nmod
22	.	PUNCT	4	punct