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 text: "I hope that industry, if put to the test, can do better [than the government], but I do not expect it," Griffin added.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	31	punct
2	I	PRON	3	nsubj
3	hope	VERB	31	ccomp
4	that	SCONJ	14	mark
5	industry	NOUN	14	nsubj
6	,	PUNCT	14	punct
7	if	SCONJ	8	mark
8	put	VERB	14	advcl
9	to	ADP	11	case
10	the	DET	11	det
11	test	NOUN	8	obl
12	,	PUNCT	14	punct
13	can	AUX	14	aux
14	do	VERB	3	ccomp
15	better	ADV	14	advmod
16	[	PUNCT	19	punct
17	than	ADP	19	case
18	the	DET	19	det
19	government	NOUN	15	obl
20	]	PUNCT	19	punct
21	,	PUNCT	26	punct
22	but	CCONJ	26	cc
23	I	PRON	26	nsubj
24	do	AUX	26	aux
25	not	PART	26	advmod
26	expect	VERB	3	conj
27	it	PRON	26	obj
28	,	PUNCT	31	punct
29	"	PUNCT	31	punct
30	Griffin	PROPN	31	nsubj
31	added	VERB	0	root
32	.	PUNCT	31	punct