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 application of recent developments in optimization theory and numerical methods can help Enron to improve further efficiency of our pipeline system and reduce the consumption of compressor fuel.
Postion	Tokenization
1	The
2	application
3	of
4	recent
5	developments
6	in
7	optimization
8	theory
9	and
10	numerical
11	methods
12	can
13	help
14	Enron
15	to
16	improve
17	further
18	efficiency
19	of
20	our
21	pipeline
22	system
23	and
24	reduce
25	the
26	consumption
27	of
28	compressor
29	fuel
30	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	application	NOUN	13	nsubj
3	of	ADP	5	case
4	recent	ADJ	5	amod
5	developments	NOUN	2	nmod
6	in	ADP	8	case
7	optimization	NOUN	8	compound
8	theory	NOUN	5	nmod
9	and	CCONJ	11	cc
10	numerical	ADJ	11	amod
11	methods	NOUN	8	conj
12	can	AUX	13	aux
13	help	VERB	0	root
14	Enron	PROPN	13	obj
15	to	PART	16	mark
16	improve	VERB	13	xcomp
17	further	ADJ	18	amod
18	efficiency	NOUN	16	obj
19	of	ADP	22	case
20	our	PRON	22	nmod:poss
21	pipeline	NOUN	22	compound
22	system	NOUN	18	nmod
23	and	CCONJ	24	cc
24	reduce	VERB	16	conj
25	the	DET	26	det
26	consumption	NOUN	24	obj
27	of	ADP	29	case
28	compressor	NOUN	29	compound
29	fuel	NOUN	26	nmod
30	.	PUNCT	13	punct