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:
A few days before Christmas 2003, after a renewed audiotape threat by Zawahiri of attacks, to include in the US homeland, the threat level was raised to orange or "high."
Postion	Tokenization
1	A
2	few
3	days
4	before
5	Christmas
6	2003
7	,
8	after
9	a
10	renewed
11	audiotape
12	threat
13	by
14	Zawahiri
15	of
16	attacks
17	,
18	to
19	include
20	in
21	the
22	US
23	homeland
24	,
25	the
26	threat
27	level
28	was
29	raised
30	to
31	orange
32	or
33	"
34	high
35	.
36	"
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	few	ADJ	3	amod
3	days	NOUN	5	nmod:npmod
4	before	ADP	5	case
5	Christmas	PROPN	29	obl
6	2003	NUM	5	nummod
7	,	PUNCT	29	punct
8	after	ADP	12	case
9	a	DET	12	det
10	renewed	VERB	12	amod
11	audiotape	NOUN	12	compound
12	threat	NOUN	29	obl
13	by	ADP	14	case
14	Zawahiri	PROPN	12	nmod
15	of	ADP	16	case
16	attacks	NOUN	12	nmod
17	,	PUNCT	16	punct
18	to	PART	19	mark
19	include	VERB	16	acl
20	in	ADP	23	case
21	the	DET	23	det
22	US	PROPN	23	compound
23	homeland	NOUN	19	obl
24	,	PUNCT	29	punct
25	the	DET	27	det
26	threat	NOUN	27	compound
27	level	NOUN	29	nsubj:pass
28	was	AUX	29	aux:pass
29	raised	VERB	0	root
30	to	ADP	31	case
31	orange	ADJ	29	obl
32	or	CCONJ	34	cc
33	"	PUNCT	34	punct
34	high	ADJ	31	appos
35	.	PUNCT	29	punct
36	"	PUNCT	29	punct