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:
3 = Number of 11 September hijackers whose entry visas came through special US-Saudi "Visa Express" programme.
Postion	Tokenization
1	3
2	=
3	Number
4	of
5	11
6	September
7	hijackers
8	whose
9	entry
10	visas
11	came
12	through
13	special
14	US
15	-
16	Saudi
17	"
18	Visa
19	Express
20	"
21	programme
22	.
Position	Tokenization	UPOS	Head	Deprel
1	3	NUM	0	root
2	=	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	7	case
5	11	NUM	6	nummod
6	September	PROPN	7	compound
7	hijackers	NOUN	3	nmod
8	whose	PRON	10	nmod:poss
9	entry	NOUN	10	compound
10	visas	NOUN	11	nsubj
11	came	VERB	7	acl:relcl
12	through	ADP	21	case
13	special	ADJ	21	amod
14	US	PROPN	21	compound
15	-	PUNCT	14	punct
16	Saudi	ADJ	14	amod
17	"	PUNCT	19	punct
18	Visa	PROPN	19	compound
19	Express	PROPN	21	compound
20	"	PUNCT	19	punct
21	programme	NOUN	11	obl
22	.	PUNCT	3	punct