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:
Will we choose to rise about prejudice and intolerance or go down kicking and screaming with holding on to fear and anger?
Postion	Tokenization
1	Will
2	we
3	choose
4	to
5	rise
6	about
7	prejudice
8	and
9	intolerance
10	or
11	go
12	down
13	kicking
14	and
15	screaming
16	with
17	holding
18	on
19	to
20	fear
21	and
22	anger
23	?
Position	Tokenization	UPOS	Head	Deprel
1	Will	AUX	3	aux
2	we	PRON	3	nsubj
3	choose	VERB	0	root
4	to	PART	5	mark
5	rise	VERB	3	xcomp
6	about	ADP	7	case
7	prejudice	NOUN	5	obl
8	and	CCONJ	9	cc
9	intolerance	NOUN	7	conj
10	or	CCONJ	11	cc
11	go	VERB	5	conj
12	down	ADV	11	advmod
13	kicking	VERB	11	advcl
14	and	CCONJ	15	cc
15	screaming	VERB	13	conj
16	with	SCONJ	17	mark
17	holding	VERB	11	advcl
18	on	ADP	17	compound:prt
19	to	ADP	20	case
20	fear	NOUN	17	obl
21	and	CCONJ	22	cc
22	anger	NOUN	20	conj
23	?	PUNCT	3	punct