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:
If this is the case I would like someone to walk me through June to see if the numbers did really work themselves out as there was a large swing in second order on June 29 that was not adjusted for.
Postion	Tokenization
1	If
2	this
3	is
4	the
5	case
6	I
7	would
8	like
9	someone
10	to
11	walk
12	me
13	through
14	June
15	to
16	see
17	if
18	the
19	numbers
20	did
21	really
22	work
23	themselves
24	out
25	as
26	there
27	was
28	a
29	large
30	swing
31	in
32	second
33	order
34	on
35	June
36	29
37	that
38	was
39	not
40	adjusted
41	for
42	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	5	mark
2	this	PRON	5	nsubj
3	is	AUX	5	cop
4	the	DET	5	det
5	case	NOUN	8	advcl
6	I	PRON	8	nsubj
7	would	AUX	8	aux
8	like	VERB	0	root
9	someone	PRON	8	obj
10	to	PART	11	mark
11	walk	VERB	8	xcomp
12	me	PRON	11	obj
13	through	ADP	14	case
14	June	PROPN	11	obl
15	to	PART	16	mark
16	see	VERB	11	advcl
17	if	SCONJ	22	mark
18	the	DET	19	det
19	numbers	NOUN	22	nsubj
20	did	AUX	22	aux
21	really	ADV	22	advmod
22	work	VERB	16	advcl
23	themselves	PRON	22	obj
24	out	ADP	22	compound:prt
25	as	SCONJ	27	mark
26	there	PRON	27	expl
27	was	VERB	8	advcl
28	a	DET	30	det
29	large	ADJ	30	amod
30	swing	NOUN	27	nsubj
31	in	ADP	33	case
32	second	ADJ	33	amod
33	order	NOUN	30	nmod
34	on	ADP	35	case
35	June	PROPN	30	nmod
36	29	NUM	35	nummod
37	that	PRON	40	nsubj:pass
38	was	AUX	40	aux:pass
39	not	PART	40	advmod
40	adjusted	VERB	30	acl:relcl
41	for	ADP	40	obl
42	.	PUNCT	8	punct