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:
Las mismas fuentes explicaron que desde el miércoles y hasta el domingo operarán en El Prat 700 vuelos diarios, una cifra similar a la de jornadas no festivas.
Postion	Tokenization
1	Las
2	mismas
3	fuentes
4	explicaron
5	que
6	desde
7	el
8	miércoles
9	y
10	hasta
11	el
12	domingo
13	operarán
14	en
15	El
16	Prat
17	700
18	vuelos
19	diarios
20	,
21	una
22	cifra
23	similar
24	a
25	la
26	de
27	jornadas
28	no
29	festivas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	3	det
2	mismas	DET	1	det
3	fuentes	NOUN	4	nsubj
4	explicaron	VERB	0	root
5	que	SCONJ	13	mark
6	desde	ADP	8	case
7	el	DET	8	det
8	miércoles	NOUN	13	obl
9	y	CCONJ	12	cc
10	hasta	ADP	12	case
11	el	DET	12	det
12	domingo	NOUN	8	conj
13	operarán	VERB	4	ccomp
14	en	ADP	16	case
15	El	DET	16	det
16	Prat	PROPN	13	obl
17	700	NUM	18	nummod
18	vuelos	NOUN	13	nsubj
19	diarios	ADJ	18	amod
20	,	PUNCT	22	punct
21	una	DET	22	det
22	cifra	NOUN	18	appos
23	similar	ADJ	22	amod
24	a	ADP	25	case
25	la	DET	23	det
26	de	ADP	25	case
27	jornadas	NOUN	25	nmod
28	no	ADV	29	advmod
29	festivas	ADJ	27	amod
30	.	PUNCT	4	punct