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:
Bush came out today and said that if he had known what was coming, he would have expended every effort to stop it, and that so would have Clinton.
Postion	Tokenization
1	Bush
2	came
3	out
4	today
5	and
6	said
7	that
8	if
9	he
10	had
11	known
12	what
13	was
14	coming
15	,
16	he
17	would
18	have
19	expended
20	every
21	effort
22	to
23	stop
24	it
25	,
26	and
27	that
28	so
29	would
30	have
31	Clinton
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Bush	PROPN	2	nsubj
2	came	VERB	0	root
3	out	ADV	2	advmod
4	today	NOUN	2	obl:tmod
5	and	CCONJ	6	cc
6	said	VERB	2	conj
7	that	SCONJ	19	mark
8	if	SCONJ	11	mark
9	he	PRON	11	nsubj
10	had	AUX	11	aux
11	known	VERB	19	advcl
12	what	PRON	14	nsubj
13	was	AUX	14	aux
14	coming	VERB	11	ccomp
15	,	PUNCT	19	punct
16	he	PRON	19	nsubj
17	would	AUX	19	aux
18	have	AUX	19	aux
19	expended	VERB	6	ccomp
20	every	DET	21	det
21	effort	NOUN	19	obj
22	to	PART	23	mark
23	stop	VERB	19	advcl
24	it	PRON	23	obj
25	,	PUNCT	30	punct
26	and	CCONJ	30	cc
27	that	SCONJ	30	mark
28	so	ADV	30	advmod
29	would	AUX	30	aux
30	have	VERB	19	conj
31	Clinton	PROPN	30	nsubj
32	.	PUNCT	2	punct