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:
Para materializar todos estos objetivos se constituirá un comité ejecutivo, presidido por el conseller de Política Territorial, Pere Macias, y en el que habrá dos vocales en representación de los municipios portuarios.
Postion	Tokenization
1	Para
2	materializar
3	todos
4	estos
5	objetivos
6	se
7	constituirá
8	un
9	comité
10	ejecutivo
11	,
12	presidido
13	por
14	el
15	conseller
16	de
17	Política
18	Territorial
19	,
20	Pere
21	Macias
22	,
23	y
24	en
25	el
26	que
27	habrá
28	dos
29	vocales
30	en
31	representación
32	de
33	los
34	municipios
35	portuarios
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	2	mark
2	materializar	VERB	7	advcl
3	todos	DET	4	det
4	estos	DET	5	det
5	objetivos	NOUN	2	obj
6	se	PRON	7	expl:pass
7	constituirá	VERB	0	root
8	un	DET	9	det
9	comité	NOUN	7	nsubj
10	ejecutivo	ADJ	9	amod
11	,	PUNCT	12	punct
12	presidido	ADJ	9	amod
13	por	ADP	15	case
14	el	DET	15	det
15	conseller	NOUN	12	obj
16	de	ADP	17	case
17	Política	PROPN	15	nmod
18	Territorial	PROPN	17	flat
19	,	PUNCT	20	punct
20	Pere	PROPN	15	appos
21	Macias	PROPN	20	flat
22	,	PUNCT	20	punct
23	y	CCONJ	27	cc
24	en	ADP	26	case
25	el	DET	26	det
26	que	PRON	27	obl
27	habrá	AUX	12	conj
28	dos	NUM	29	nummod
29	vocales	NOUN	27	obj
30	en	ADP	34	case
31	representación	NOUN	30	fixed
32	de	ADP	30	fixed
33	los	DET	34	det
34	municipios	NOUN	27	obl
35	portuarios	ADJ	34	amod
36	.	PUNCT	7	punct