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:
Currently we have a blank "sample" for our Paragraph 13s which are attached to our sample ISDAs for (a) US Corporate, (b) Hedge Funds, (c) Municipal.
Postion	Tokenization
1	Currently
2	we
3	have
4	a
5	blank
6	"
7	sample
8	"
9	for
10	our
11	Paragraph
12	13s
13	which
14	are
15	attached
16	to
17	our
18	sample
19	ISDAs
20	for
21	(
22	a
23	)
24	US
25	Corporate
26	,
27	(
28	b
29	)
30	Hedge
31	Funds
32	,
33	(
34	c
35	)
36	Municipal
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Currently	ADV	3	advmod
2	we	PRON	3	nsubj
3	have	VERB	0	root
4	a	DET	7	det
5	blank	ADJ	7	amod
6	"	PUNCT	7	punct
7	sample	NOUN	3	obj
8	"	PUNCT	7	punct
9	for	ADP	12	case
10	our	PRON	12	nmod:poss
11	Paragraph	NOUN	12	compound
12	13s	NOUN	7	nmod
13	which	PRON	15	nsubj:pass
14	are	AUX	15	aux:pass
15	attached	VERB	12	acl:relcl
16	to	ADP	19	case
17	our	PRON	19	nmod:poss
18	sample	ADJ	19	amod
19	ISDAs	NOUN	15	obl
20	for	ADP	25	case
21	(	PUNCT	22	punct
22	a	X	25	nummod
23	)	PUNCT	22	punct
24	US	PROPN	25	compound
25	Corporate	ADJ	19	nmod
26	,	PUNCT	31	punct
27	(	PUNCT	28	punct
28	b	X	31	nummod
29	)	PUNCT	28	punct
30	Hedge	NOUN	31	compound
31	Funds	NOUN	25	conj
32	,	PUNCT	36	punct
33	(	PUNCT	34	punct
34	c	X	36	nummod
35	)	PUNCT	34	punct
36	Municipal	ADJ	25	conj
37	.	PUNCT	3	punct