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:
Wolak said somewhat emphatically that the nature of California's market structure makes it impossible to single out a single participant as the culprit.
Postion	Tokenization
1	Wolak
2	said
3	somewhat
4	emphatically
5	that
6	the
7	nature
8	of
9	California's
10	California
11	's
12	market
13	structure
14	makes
15	it
16	impossible
17	to
18	single
19	out
20	a
21	single
22	participant
23	as
24	the
25	culprit
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Wolak	PROPN	2	nsubj
2	said	VERB	0	root
3	somewhat	ADV	4	advmod
4	emphatically	ADV	2	advmod
5	that	SCONJ	13	mark
6	the	DET	7	det
7	nature	NOUN	13	nsubj
8	of	ADP	12	case
9	California's	_	None	_
10	California	PROPN	12	nmod:poss
11	's	PART	9	case
12	market	NOUN	12	compound
13	structure	NOUN	7	nmod
14	makes	VERB	2	ccomp
15	it	PRON	13	expl
16	impossible	ADJ	13	xcomp
17	to	PART	17	mark
18	single	VERB	13	ccomp
19	out	ADP	17	compound:prt
20	a	DET	21	det
21	single	ADJ	21	amod
22	participant	NOUN	17	obj
23	as	ADP	24	case
24	the	DET	24	det
25	culprit	NOUN	17	obl
26	.	PUNCT	2	punct