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:
As we have discussed....effective Sep 13th, Anita will make the adjustments to Enron's inventory and pad gas to reflect the February 26th results.
Postion	Tokenization
1	As
2	we
3	have
4	discussed
5	....
6	effective
7	Sep
8	13th
9	,
10	Anita
11	will
12	make
13	the
14	adjustments
15	to
16	Enron's
17	Enron
18	's
19	inventory
20	and
21	pad
22	gas
23	to
24	reflect
25	the
26	February
27	26th
28	results
29	.
Position	Tokenization	UPOS	Head	Deprel
1	As	SCONJ	4	mark
2	we	PRON	4	nsubj
3	have	AUX	4	aux
4	discussed	VERB	12	advcl
5	....	PUNCT	12	punct
6	effective	ADJ	12	advmod
7	Sep	PROPN	6	obl:tmod
8	13th	NOUN	7	nummod
9	,	PUNCT	12	punct
10	Anita	PROPN	12	nsubj
11	will	AUX	12	aux
12	make	VERB	0	root
13	the	DET	14	det
14	adjustments	NOUN	12	obj
15	to	ADP	18	case
16	Enron's	_	None	_
17	Enron	PROPN	18	nmod:poss
18	's	PART	16	case
19	inventory	NOUN	14	nmod
20	and	CCONJ	21	cc
21	pad	NOUN	21	compound
22	gas	NOUN	18	conj
23	to	PART	23	mark
24	reflect	VERB	12	advcl
25	the	DET	27	det
26	February	PROPN	27	compound
27	26th	NOUN	25	nummod
28	results	NOUN	23	obj
29	.	PUNCT	12	punct