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:
Fuentes del aeropuerto confirmaron que, al menos, el número de personas encargadas de ensuciar las terminales fue "algo menor que en las anteriores jornadas de huelga".
Postion	Tokenization
1	Fuentes
2	del
3	aeropuerto
4	confirmaron
5	que
6	,
7	al
8	menos
9	,
10	el
11	número
12	de
13	personas
14	encargadas
15	de
16	ensuciar
17	las
18	terminales
19	fue
20	"
21	algo
22	menor
23	que
24	en
25	las
26	anteriores
27	jornadas
28	de
29	huelga
30	"
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Fuentes	NOUN	4	nsubj
2	del	ADP	3	case
3	aeropuerto	NOUN	1	nmod
4	confirmaron	VERB	0	root
5	que	SCONJ	22	mark
6	,	PUNCT	7	punct
7	al	ADP	22	advmod
8	menos	ADV	7	fixed
9	,	PUNCT	7	punct
10	el	DET	11	det
11	número	NOUN	22	nsubj
12	de	ADP	13	case
13	personas	NOUN	11	nmod
14	encargadas	ADJ	13	amod
15	de	ADP	16	mark
16	ensuciar	VERB	14	xcomp
17	las	DET	18	det
18	terminales	NOUN	16	obj
19	fue	AUX	22	cop
20	"	PUNCT	22	punct
21	algo	ADV	22	advmod
22	menor	ADJ	4	ccomp
23	que	SCONJ	27	mark
24	en	ADP	27	case
25	las	DET	27	det
26	anteriores	ADJ	27	amod
27	jornadas	NOUN	22	obl
28	de	ADP	29	case
29	huelga	NOUN	27	nmod
30	"	PUNCT	22	punct
31	.	PUNCT	4	punct