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 cost is averaging $79,000 per month if we continue to run the compressor as we have in August and September.
Postion	Tokenization
1	This
2	cost
3	is
4	averaging
5	$
6	79,000
7	per
8	month
9	if
10	we
11	continue
12	to
13	run
14	the
15	compressor
16	as
17	we
18	have
19	in
20	August
21	and
22	September
23	.
Position	Tokenization	UPOS	Head	Deprel
1	This	DET	2	det
2	cost	NOUN	4	nsubj
3	is	AUX	4	aux
4	averaging	VERB	0	root
5	$	SYM	4	obj
6	79,000	NUM	5	nummod
7	per	ADP	8	case
8	month	NOUN	5	nmod
9	if	SCONJ	11	mark
10	we	PRON	11	nsubj
11	continue	VERB	4	advcl
12	to	PART	13	mark
13	run	VERB	11	xcomp
14	the	DET	15	det
15	compressor	NOUN	13	obj
16	as	SCONJ	20	mark
17	we	PRON	20	nsubj
18	have	AUX	20	aux
19	in	ADP	20	case
20	August	PROPN	13	advcl
21	and	CCONJ	22	cc
22	September	PROPN	20	conj
23	.	PUNCT	4	punct