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:
And, as it is with Kerry, it’s reasonable to look at a candidate’s entire record, including his military service — or lack of it.
Postion	Tokenization
1	And
2	,
3	as
4	it
5	is
6	with
7	Kerry
8	,
9	it’s
10	it
11	’s
12	reasonable
13	to
14	look
15	at
16	a
17	candidate’s
18	candidate
19	’s
20	entire
21	record
22	,
23	including
24	his
25	military
26	service
27	—
28	or
29	lack
30	of
31	it
32	.
Position	Tokenization	UPOS	Head	Deprel
1	And	CCONJ	11	cc
2	,	PUNCT	11	punct
3	as	SCONJ	5	mark
4	it	PRON	5	expl
5	is	VERB	11	advcl
6	with	ADP	7	case
7	Kerry	PROPN	5	obl
8	,	PUNCT	11	punct
9	it’s	_	None	_
10	it	PRON	11	expl
11	’s	AUX	11	cop
12	reasonable	ADJ	0	root
13	to	PART	13	mark
14	look	VERB	11	csubj
15	at	ADP	19	case
16	a	DET	16	det
17	candidate’s	_	None	_
18	candidate	NOUN	19	nmod:poss
19	’s	PART	16	case
20	entire	ADJ	19	amod
21	record	NOUN	13	obl
22	,	PUNCT	19	punct
23	including	VERB	24	case
24	his	PRON	24	nmod:poss
25	military	ADJ	24	amod
26	service	NOUN	19	nmod
27	—	PUNCT	24	punct
28	or	CCONJ	27	cc
29	lack	NOUN	24	conj
30	of	ADP	29	case
31	it	PRON	27	nmod
32	.	PUNCT	11	punct