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:
A 1971 evaluation called Bush “an exceptionally fine young officer and pilot” who “continually flies intercept missions with the unit to increase his proficiency even further.”
Postion	Tokenization
1	A
2	1971
3	evaluation
4	called
5	Bush
6	“
7	an
8	exceptionally
9	fine
10	young
11	officer
12	and
13	pilot
14	”
15	who
16	“
17	continually
18	flies
19	intercept
20	missions
21	with
22	the
23	unit
24	to
25	increase
26	his
27	proficiency
28	even
29	further
30	.
31	”
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	1971	NUM	3	nummod
3	evaluation	NOUN	4	nsubj
4	called	VERB	0	root
5	Bush	PROPN	4	obj
6	“	PUNCT	11	punct
7	an	DET	11	det
8	exceptionally	ADV	9	advmod
9	fine	ADJ	11	amod
10	young	ADJ	11	amod
11	officer	NOUN	4	xcomp
12	and	CCONJ	13	cc
13	pilot	NOUN	11	conj
14	”	PUNCT	13	punct
15	who	PRON	18	nsubj
16	“	PUNCT	18	punct
17	continually	ADV	18	advmod
18	flies	VERB	11	acl:relcl
19	intercept	NOUN	20	compound
20	missions	NOUN	18	obj
21	with	ADP	23	case
22	the	DET	23	det
23	unit	NOUN	18	obl
24	to	PART	25	mark
25	increase	VERB	18	advcl
26	his	PRON	27	nmod:poss
27	proficiency	NOUN	25	obj
28	even	ADV	29	advmod
29	further	ADV	25	advmod
30	.	PUNCT	4	punct
31	”	PUNCT	4	punct