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:
La nueva jornada de huelga del personal de Fomento de Construcciones y Contratas (FCC), concesionaria de la limpieza del aeropuerto de El Prat, volvió a dejar las terminales llenas de recortes de prensa y a inutilizar los lavabos.
Postion	Tokenization
1	La
2	nueva
3	jornada
4	de
5	huelga
6	del
7	personal
8	de
9	Fomento
10	de
11	Construcciones
12	y
13	Contratas
14	(
15	FCC
16	)
17	,
18	concesionaria
19	de
20	la
21	limpieza
22	del
23	aeropuerto
24	de
25	El
26	Prat
27	,
28	volvió
29	a
30	dejar
31	las
32	terminales
33	llenas
34	de
35	recortes
36	de
37	prensa
38	y
39	a
40	inutilizar
41	los
42	lavabos
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	nueva	ADJ	3	amod
3	jornada	NOUN	28	nsubj
4	de	ADP	5	case
5	huelga	NOUN	3	nmod
6	del	ADP	7	case
7	personal	NOUN	5	nmod
8	de	ADP	9	case
9	Fomento	PROPN	7	nmod
10	de	ADP	11	case
11	Construcciones	PROPN	9	flat
12	y	CCONJ	13	cc
13	Contratas	PROPN	11	conj
14	(	PUNCT	15	punct
15	FCC	PROPN	9	flat
16	)	PUNCT	15	punct
17	,	PUNCT	18	punct
18	concesionaria	NOUN	9	appos
19	de	ADP	21	case
20	la	DET	21	det
21	limpieza	NOUN	18	nmod
22	del	ADP	23	case
23	aeropuerto	NOUN	21	nmod
24	de	ADP	26	case
25	El	DET	26	det
26	Prat	PROPN	23	nmod
27	,	PUNCT	18	punct
28	volvió	VERB	0	root
29	a	ADP	30	mark
30	dejar	VERB	28	xcomp
31	las	DET	32	det
32	terminales	NOUN	28	obj
33	llenas	ADJ	28	obj
34	de	ADP	35	case
35	recortes	NOUN	33	nmod
36	de	ADP	37	case
37	prensa	NOUN	35	nmod
38	y	CCONJ	40	cc
39	a	ADP	40	mark
40	inutilizar	VERB	30	conj
41	los	DET	42	det
42	lavabos	NOUN	40	obj
43	.	PUNCT	28	punct