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:
My understanding was that ECS was to provide a means to access CDEC's online profile in order for us to make a decision to avoid running the compressor during CDEC's peak load periods.
Postion	Tokenization
1	My
2	understanding
3	was
4	that
5	ECS
6	was
7	to
8	provide
9	a
10	means
11	to
12	access
13	CDEC's
14	CDEC
15	's
16	online
17	profile
18	in
19	order
20	for
21	us
22	to
23	make
24	a
25	decision
26	to
27	avoid
28	running
29	the
30	compressor
31	during
32	CDEC's
33	CDEC
34	's
35	peak
36	load
37	periods
38	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	2	nmod:poss
2	understanding	NOUN	3	nsubj
3	was	VERB	0	root
4	that	SCONJ	6	mark
5	ECS	PROPN	6	nsubj
6	was	VERB	3	ccomp
7	to	PART	8	mark
8	provide	VERB	6	xcomp
9	a	DET	10	det
10	means	NOUN	8	obj
11	to	PART	12	mark
12	access	VERB	10	acl
13	CDEC's	_	None	_
14	CDEC	PROPN	16	nmod:poss
15	's	PART	13	case
16	online	ADJ	16	amod
17	profile	NOUN	12	obj
18	in	ADP	22	mark
19	order	NOUN	17	fixed
20	for	SCONJ	22	mark
21	us	PRON	22	nsubj
22	to	PART	22	mark
23	make	VERB	12	advcl
24	a	DET	24	det
25	decision	NOUN	22	obj
26	to	PART	26	mark
27	avoid	VERB	24	acl
28	running	VERB	26	xcomp
29	the	DET	29	det
30	compressor	NOUN	27	obj
31	during	ADP	35	case
32	CDEC's	_	None	_
33	CDEC	PROPN	35	nmod:poss
34	's	PART	31	case
35	peak	NOUN	35	compound
36	load	NOUN	35	compound
37	periods	NOUN	27	obl
38	.	PUNCT	3	punct