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:
Questar has already informed us that they would help obtain parts/materials to our specifications if it helps achieve an in-service date of May 1.
Postion	Tokenization
1	Questar
2	has
3	already
4	informed
5	us
6	that
7	they
8	would
9	help
10	obtain
11	parts
12	/
13	materials
14	to
15	our
16	specifications
17	if
18	it
19	helps
20	achieve
21	an
22	in
23	-
24	service
25	date
26	of
27	May
28	1
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Questar	PROPN	4	nsubj
2	has	AUX	4	aux
3	already	ADV	4	advmod
4	informed	VERB	0	root
5	us	PRON	4	obj
6	that	SCONJ	9	mark
7	they	PRON	9	nsubj
8	would	AUX	9	aux
9	help	VERB	4	ccomp
10	obtain	VERB	9	xcomp
11	parts	NOUN	10	obj
12	/	PUNCT	13	cc
13	materials	NOUN	11	conj
14	to	ADP	16	case
15	our	PRON	16	nmod:poss
16	specifications	NOUN	13	nmod
17	if	SCONJ	19	mark
18	it	PRON	19	nsubj
19	helps	VERB	10	advcl
20	achieve	VERB	19	xcomp
21	an	DET	25	det
22	in	ADP	24	case
23	-	PUNCT	24	punct
24	service	NOUN	25	compound
25	date	NOUN	20	obj
26	of	ADP	27	case
27	May	PROPN	25	nmod
28	1	NUM	27	nummod
29	.	PUNCT	4	punct