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:
Barcelona mantiene unas expectativas de ocupación relativamente bajas (entre el 75% y el 81%), datos que Indústria atribuye a la voluntad del sector de no querer alarmar con la falta de camas.
Postion	Tokenization
1	Barcelona
2	mantiene
3	unas
4	expectativas
5	de
6	ocupación
7	relativamente
8	bajas
9	(
10	entre
11	el
12	75%
13	y
14	el
15	81%
16	)
17	,
18	datos
19	que
20	Indústria
21	atribuye
22	a
23	la
24	voluntad
25	del
26	sector
27	de
28	no
29	querer
30	alarmar
31	con
32	la
33	falta
34	de
35	camas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Barcelona	PROPN	2	nsubj
2	mantiene	VERB	0	root
3	unas	DET	4	det
4	expectativas	NOUN	2	obj
5	de	ADP	6	case
6	ocupación	NOUN	4	nmod
7	relativamente	ADV	8	advmod
8	bajas	ADJ	4	amod
9	(	PUNCT	12	punct
10	entre	ADP	12	case
11	el	DET	12	det
12	75%	SYM	4	nmod
13	y	CCONJ	15	cc
14	el	DET	15	det
15	81%	SYM	12	conj
16	)	PUNCT	12	punct
17	,	PUNCT	18	punct
18	datos	NOUN	4	appos
19	que	PRON	21	obj
20	Indústria	PROPN	21	nsubj
21	atribuye	VERB	18	acl
22	a	ADP	24	case
23	la	DET	24	det
24	voluntad	NOUN	21	obj
25	del	ADP	26	case
26	sector	NOUN	24	nmod
27	de	ADP	30	mark
28	no	ADV	30	advmod
29	querer	AUX	30	aux
30	alarmar	VERB	24	acl
31	con	ADP	33	case
32	la	DET	33	det
33	falta	NOUN	30	obl
34	de	ADP	35	case
35	camas	NOUN	33	nmod
36	.	PUNCT	2	punct