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:
you guys have any job opening for ex natural gas traders that made their now almost defunctc ompany over 40 million in the last two years?
Postion	Tokenization
1	you
2	guys
3	have
4	any
5	job
6	opening
7	for
8	ex
9	natural
10	gas
11	traders
12	that
13	made
14	their
15	now
16	almost
17	defunctc
18	ompany
19	over
20	40
21	million
22	in
23	the
24	last
25	two
26	years
27	?
Position	Tokenization	UPOS	Head	Deprel
1	you	PRON	2	vocative
2	guys	NOUN	3	nsubj
3	have	VERB	0	root
4	any	DET	6	det
5	job	NOUN	6	compound
6	opening	NOUN	3	obj
7	for	ADP	11	case
8	ex	X	11	amod
9	natural	ADJ	10	amod
10	gas	NOUN	11	compound
11	traders	NOUN	6	nmod
12	that	PRON	13	nsubj
13	made	VERB	11	acl:relcl
14	their	PRON	18	nmod:poss
15	now	ADV	17	advmod
16	almost	ADV	17	advmod
17	defunctc	ADJ	18	amod
18	ompany	NOUN	13	iobj
19	over	ADV	21	advmod
20	40	NUM	21	compound
21	million	NUM	13	obj
22	in	ADP	26	case
23	the	DET	26	det
24	last	ADJ	26	amod
25	two	NUM	26	nummod
26	years	NOUN	13	obl
27	?	PUNCT	3	punct