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:
He said the main aim of the subpoenas will be to determine whether collusion occurred to "fix" prices, which would violate federal trade laws.
Postion	Tokenization
1	He
2	said
3	the
4	main
5	aim
6	of
7	the
8	subpoenas
9	will
10	be
11	to
12	determine
13	whether
14	collusion
15	occurred
16	to
17	"
18	fix
19	"
20	prices
21	,
22	which
23	would
24	violate
25	federal
26	trade
27	laws
28	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	2	nsubj
2	said	VERB	0	root
3	the	DET	5	det
4	main	ADJ	5	amod
5	aim	NOUN	10	nsubj
6	of	ADP	8	case
7	the	DET	8	det
8	subpoenas	NOUN	5	nmod
9	will	AUX	10	aux
10	be	VERB	2	ccomp
11	to	PART	12	mark
12	determine	VERB	10	ccomp
13	whether	SCONJ	15	mark
14	collusion	NOUN	15	nsubj
15	occurred	VERB	12	ccomp
16	to	PART	18	mark
17	"	PUNCT	18	punct
18	fix	VERB	15	advcl
19	"	PUNCT	18	punct
20	prices	NOUN	18	obj
21	,	PUNCT	18	punct
22	which	PRON	24	nsubj
23	would	AUX	24	aux
24	violate	VERB	18	acl:relcl
25	federal	ADJ	27	amod
26	trade	NOUN	27	compound
27	laws	NOUN	24	obj
28	.	PUNCT	2	punct