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:
The American people were NOT having any of it, and elected Richard Nixon to fix the mess LBJ had made (not to surrender like the antiwar movement was demanding).
Postion	Tokenization
1	The
2	American
3	people
4	were
5	NOT
6	having
7	any
8	of
9	it
10	,
11	and
12	elected
13	Richard
14	Nixon
15	to
16	fix
17	the
18	mess
19	LBJ
20	had
21	made
22	(
23	not
24	to
25	surrender
26	like
27	the
28	antiwar
29	movement
30	was
31	demanding
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	American	ADJ	3	amod
3	people	NOUN	6	nsubj
4	were	AUX	6	aux
5	NOT	PART	6	advmod
6	having	VERB	0	root
7	any	DET	6	obj
8	of	ADP	9	case
9	it	PRON	7	nmod
10	,	PUNCT	12	punct
11	and	CCONJ	12	cc
12	elected	VERB	6	conj
13	Richard	PROPN	12	obj
14	Nixon	PROPN	13	flat
15	to	PART	16	mark
16	fix	VERB	12	advcl
17	the	DET	18	det
18	mess	NOUN	16	obj
19	LBJ	PROPN	21	nsubj
20	had	AUX	21	aux
21	made	VERB	18	acl:relcl
22	(	PUNCT	25	punct
23	not	PART	25	advmod
24	to	PART	25	mark
25	surrender	VERB	16	advcl
26	like	SCONJ	31	mark
27	the	DET	29	det
28	antiwar	ADJ	29	amod
29	movement	NOUN	31	nsubj
30	was	AUX	31	aux
31	demanding	VERB	25	advcl
32	)	PUNCT	25	punct
33	.	PUNCT	6	punct