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:
Los 20.000 metros cuadrados fijados por el director teatral en 1999 quedarán reducidos finalmente a unos 8.000, máxima edificabilidad que permite el plan especial de urbanismo aprobado para la Ciutat del Teatre.
Postion	Tokenization
1	Los
2	20.000
3	metros
4	cuadrados
5	fijados
6	por
7	el
8	director
9	teatral
10	en
11	1999
12	quedarán
13	reducidos
14	finalmente
15	a
16	unos
17	8.000
18	,
19	máxima
20	edificabilidad
21	que
22	permite
23	el
24	plan
25	especial
26	de
27	urbanismo
28	aprobado
29	para
30	la
31	Ciutat
32	del
33	Teatre
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	20.000	NUM	3	nummod
3	metros	NOUN	12	nsubj
4	cuadrados	ADJ	3	amod
5	fijados	ADJ	3	amod
6	por	ADP	8	case
7	el	DET	8	det
8	director	NOUN	5	obj
9	teatral	ADJ	8	amod
10	en	ADP	11	case
11	1999	NOUN	5	obl
12	quedarán	VERB	0	root
13	reducidos	ADJ	12	obj
14	finalmente	ADV	13	advmod
15	a	ADP	17	case
16	unos	DET	17	det
17	8.000	NUM	13	obl
18	,	PUNCT	20	punct
19	máxima	ADJ	20	amod
20	edificabilidad	NOUN	17	appos
21	que	PRON	22	obj
22	permite	VERB	20	acl
23	el	DET	24	det
24	plan	NOUN	22	nsubj
25	especial	ADJ	24	amod
26	de	ADP	27	case
27	urbanismo	NOUN	24	nmod
28	aprobado	ADJ	24	amod
29	para	ADP	31	case
30	la	DET	31	det
31	Ciutat	PROPN	28	obl
32	del	ADP	33	case
33	Teatre	PROPN	31	flat
34	.	PUNCT	12	punct