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:
Although Ramzi Binalshibh provided him $14,000 in July, accused September 11 conspirator Zacarias Moussaoui told his trial judge that he had an al Qaeda mission that would have come after the terrorist attacks.
Postion	Tokenization
1	Although
2	Ramzi
3	Binalshibh
4	provided
5	him
6	$
7	14,000
8	in
9	July
10	,
11	accused
12	September
13	11
14	conspirator
15	Zacarias
16	Moussaoui
17	told
18	his
19	trial
20	judge
21	that
22	he
23	had
24	an
25	al
26	Qaeda
27	mission
28	that
29	would
30	have
31	come
32	after
33	the
34	terrorist
35	attacks
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Although	SCONJ	4	mark
2	Ramzi	PROPN	4	nsubj
3	Binalshibh	PROPN	2	flat
4	provided	VERB	17	advcl
5	him	PRON	4	iobj
6	$	SYM	4	obj
7	14,000	NUM	6	compound
8	in	ADP	9	case
9	July	PROPN	4	obl
10	,	PUNCT	17	punct
11	accused	VERB	14	amod
12	September	PROPN	14	compound
13	11	NUM	12	nummod
14	conspirator	NOUN	15	compound
15	Zacarias	PROPN	17	nsubj
16	Moussaoui	PROPN	15	flat
17	told	VERB	0	root
18	his	PRON	20	nmod:poss
19	trial	NOUN	20	compound
20	judge	NOUN	17	obj
21	that	SCONJ	23	mark
22	he	PRON	23	nsubj
23	had	VERB	17	ccomp
24	an	DET	27	det
25	al	PROPN	26	compound
26	Qaeda	PROPN	27	compound
27	mission	NOUN	23	obj
28	that	PRON	31	nsubj
29	would	AUX	31	aux
30	have	AUX	31	aux
31	come	VERB	27	acl:relcl
32	after	ADP	35	case
33	the	DET	35	det
34	terrorist	NOUN	35	compound
35	attacks	NOUN	31	obl
36	.	PUNCT	17	punct