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:
It's a very ambitious site -- with state-of-the-art WSI weather (seasonal, 6-10, and day to day) driving a good load model for PJM and NEPOOL.
Postion	Tokenization
1	It's
2	It
3	's
4	a
5	very
6	ambitious
7	site
8	--
9	with
10	state
11	-
12	of
13	-
14	the
15	-
16	art
17	WSI
18	weather
19	(
20	seasonal
21	,
22	6
23	-
24	10
25	,
26	and
27	day
28	to
29	day
30	)
31	driving
32	a
33	good
34	load
35	model
36	for
37	PJM
38	and
39	NEPOOL
40	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	6	nsubj
3	's	AUX	6	cop
4	a	DET	6	det
5	very	ADV	5	advmod
6	ambitious	ADJ	6	amod
7	site	NOUN	0	root
8	--	PUNCT	6	punct
9	with	SCONJ	30	mark
10	state	NOUN	17	compound
11	-	PUNCT	9	punct
12	of	ADP	15	case
13	-	PUNCT	15	punct
14	the	DET	15	det
15	-	PUNCT	15	punct
16	art	NOUN	9	nmod
17	WSI	NOUN	17	compound
18	weather	NOUN	30	nsubj
19	(	PUNCT	19	punct
20	seasonal	ADJ	17	amod
21	,	PUNCT	21	punct
22	6	NUM	19	conj
23	-	SYM	23	case
24	10	NUM	21	nmod
25	,	PUNCT	26	punct
26	and	CCONJ	26	cc
27	day	NOUN	19	conj
28	to	ADP	28	case
29	day	NOUN	26	nmod
30	)	PUNCT	19	punct
31	driving	VERB	6	advcl
32	a	DET	34	det
33	good	ADJ	33	amod
34	load	NOUN	34	compound
35	model	NOUN	30	obj
36	for	ADP	36	case
37	PJM	PROPN	30	obl
38	and	CCONJ	38	cc
39	NEPOOL	PROPN	36	conj
40	.	PUNCT	6	punct