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:
As with Christian Identity and other hate-related philosophies tied to the Aryan Nations and the neo-Nazi Creativity Movement, Jeffs has preached racism as well.
Postion	Tokenization
1	As
2	with
3	Christian
4	Identity
5	and
6	other
7	hate
8	-
9	related
10	philosophies
11	tied
12	to
13	the
14	Aryan
15	Nations
16	and
17	the
18	neo-Nazi
19	Creativity
20	Movement
21	,
22	Jeffs
23	has
24	preached
25	racism
26	as
27	well
28	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	4	case
2	with	ADP	4	case
3	Christian	PROPN	4	compound
4	Identity	PROPN	24	obl
5	and	CCONJ	10	cc
6	other	ADJ	10	amod
7	hate	NOUN	9	obl:npmod
8	-	PUNCT	9	punct
9	related	ADJ	10	amod
10	philosophies	NOUN	4	conj
11	tied	VERB	10	acl
12	to	ADP	15	case
13	the	DET	15	det
14	Aryan	PROPN	15	compound
15	Nations	PROPN	11	obl
16	and	CCONJ	20	cc
17	the	DET	20	det
18	neo-Nazi	ADJ	20	amod
19	Creativity	PROPN	20	compound
20	Movement	PROPN	15	conj
21	,	PUNCT	24	punct
22	Jeffs	PROPN	24	nsubj
23	has	AUX	24	aux
24	preached	VERB	0	root
25	racism	NOUN	24	obj
26	as	ADV	24	advmod
27	well	ADV	26	fixed
28	.	PUNCT	24	punct