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:
Lo que se ha hecho en El Prat, la distribución de terminales por compañías y no por destinos, es un sistema que aplican multitud de aeropuertos en todo el mundo.
Postion	Tokenization
1	Lo
2	que
3	se
4	ha
5	hecho
6	en
7	El
8	Prat
9	,
10	la
11	distribución
12	de
13	terminales
14	por
15	compañías
16	y
17	no
18	por
19	destinos
20	,
21	es
22	un
23	sistema
24	que
25	aplican
26	multitud
27	de
28	aeropuertos
29	en
30	todo
31	el
32	mundo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Lo	PRON	5	det
2	que	PRON	5	nsubj
3	se	PRON	5	expl:pass
4	ha	AUX	5	aux
5	hecho	VERB	23	csubj
6	en	ADP	8	case
7	El	DET	8	det
8	Prat	PROPN	5	obl
9	,	PUNCT	11	punct
10	la	DET	11	det
11	distribución	NOUN	5	obj
12	de	ADP	13	case
13	terminales	NOUN	11	nmod
14	por	ADP	15	case
15	compañías	NOUN	11	nmod
16	y	CCONJ	17	cc
17	no	ADV	15	conj
18	por	ADP	17	case
19	destinos	NOUN	17	nmod
20	,	PUNCT	11	punct
21	es	AUX	23	cop
22	un	DET	23	det
23	sistema	NOUN	0	root
24	que	PRON	25	obj
25	aplican	VERB	23	acl
26	multitud	NOUN	25	nsubj
27	de	ADP	28	case
28	aeropuertos	NOUN	26	nmod
29	en	ADP	32	case
30	todo	DET	31	det
31	el	DET	32	det
32	mundo	NOUN	25	obl
33	.	PUNCT	23	punct