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:
I am told that our respective credit departments want to raise the credit lines to $10M for each party, but to effect that we will have to modify the existing Guaranties accordingly.
Postion	Tokenization
1	I
2	am
3	told
4	that
5	our
6	respective
7	credit
8	departments
9	want
10	to
11	raise
12	the
13	credit
14	lines
15	to
16	$
17	10
18	M
19	for
20	each
21	party
22	,
23	but
24	to
25	effect
26	that
27	we
28	will
29	have
30	to
31	modify
32	the
33	existing
34	Guaranties
35	accordingly
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj:pass
2	am	AUX	3	aux:pass
3	told	VERB	0	root
4	that	SCONJ	9	mark
5	our	PRON	8	nmod:poss
6	respective	ADJ	8	amod
7	credit	NOUN	8	compound
8	departments	NOUN	9	nsubj
9	want	VERB	3	ccomp
10	to	PART	11	mark
11	raise	VERB	9	xcomp
12	the	DET	14	det
13	credit	NOUN	14	compound
14	lines	NOUN	11	obj
15	to	ADP	16	case
16	$	SYM	11	obl
17	10	NUM	18	compound
18	M	NUM	16	nummod
19	for	ADP	21	case
20	each	DET	21	det
21	party	NOUN	16	nmod
22	,	PUNCT	25	punct
23	but	CCONJ	25	cc
24	to	ADP	25	case
25	effect	NOUN	16	conj
26	that	SCONJ	29	mark
27	we	PRON	29	nsubj
28	will	AUX	29	aux
29	have	VERB	25	acl
30	to	PART	31	mark
31	modify	VERB	29	xcomp
32	the	DET	34	det
33	existing	VERB	34	amod
34	Guaranties	NOUN	31	obj
35	accordingly	ADV	31	advmod
36	.	PUNCT	3	punct