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:
5 - Number of major US airports at the beginning of 2004 that the Transportation Security Administration admitted were Not fully screening baggage electronically.
Postion	Tokenization
1	5
2	-
3	Number
4	of
5	major
6	US
7	airports
8	at
9	the
10	beginning
11	of
12	2004
13	that
14	the
15	Transportation
16	Security
17	Administration
18	admitted
19	were
20	Not
21	fully
22	screening
23	baggage
24	electronically
25	.
Position	Tokenization	UPOS	Head	Deprel
1	5	NUM	0	root
2	-	PUNCT	1	punct
3	Number	NOUN	1	appos
4	of	ADP	7	case
5	major	ADJ	7	amod
6	US	PROPN	7	compound
7	airports	NOUN	3	nmod
8	at	ADP	10	case
9	the	DET	10	det
10	beginning	NOUN	7	nmod
11	of	ADP	12	case
12	2004	NUM	10	nmod
13	that	PRON	22	nsubj
14	the	DET	17	det
15	Transportation	PROPN	16	compound
16	Security	PROPN	17	compound
17	Administration	PROPN	18	nsubj
18	admitted	VERB	7	acl:relcl
19	were	AUX	22	aux
20	Not	PART	22	advmod
21	fully	ADV	22	advmod
22	screening	VERB	18	ccomp
23	baggage	NOUN	22	obj
24	electronically	ADV	22	advmod
25	.	PUNCT	1	punct