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:
Con esta nueva reforma, el proyecto de recalificación de terrenos rústicos en las playas de Calamocarro (Ceuta) para construir un complejo turístico deberá ser aprobado también por el Ministerio de Fomento.
Postion	Tokenization
1	Con
2	esta
3	nueva
4	reforma
5	,
6	el
7	proyecto
8	de
9	recalificación
10	de
11	terrenos
12	rústicos
13	en
14	las
15	playas
16	de
17	Calamocarro
18	(
19	Ceuta
20	)
21	para
22	construir
23	un
24	complejo
25	turístico
26	deberá
27	ser
28	aprobado
29	también
30	por
31	el
32	Ministerio
33	de
34	Fomento
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	4	case
2	esta	DET	4	det
3	nueva	ADJ	4	amod
4	reforma	NOUN	28	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	proyecto	NOUN	28	nsubj
8	de	ADP	9	case
9	recalificación	NOUN	7	nmod
10	de	ADP	11	case
11	terrenos	NOUN	9	nmod
12	rústicos	ADJ	11	amod
13	en	ADP	15	case
14	las	DET	15	det
15	playas	NOUN	7	nmod
16	de	ADP	17	case
17	Calamocarro	PROPN	15	nmod
18	(	PUNCT	19	punct
19	Ceuta	PROPN	17	flat
20	)	PUNCT	19	punct
21	para	ADP	22	mark
22	construir	VERB	7	acl
23	un	DET	24	det
24	complejo	NOUN	22	obj
25	turístico	ADJ	24	amod
26	deberá	AUX	28	aux
27	ser	AUX	28	aux
28	aprobado	VERB	0	root
29	también	ADV	28	obj
30	por	ADP	29	case
31	el	DET	32	det
32	Ministerio	PROPN	29	nmod
33	de	ADP	34	case
34	Fomento	PROPN	32	flat
35	.	PUNCT	28	punct