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:
El Ayuntamiento de Móra de Ebre ha aportado 16 millones y el Consell Comarcal de la Ribera d'Ebre ha establecido ayudas de 300.000 pesetas por puesto de trabajo creado.
Postion	Tokenization
1	El
2	Ayuntamiento
3	de
4	Móra
5	de
6	Ebre
7	ha
8	aportado
9	16
10	millones
11	y
12	el
13	Consell
14	Comarcal
15	de
16	la
17	Ribera
18	d'Ebre
19	ha
20	establecido
21	ayudas
22	de
23	300.000
24	pesetas
25	por
26	puesto
27	de
28	trabajo
29	creado
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Ayuntamiento	PROPN	8	nsubj
3	de	ADP	4	case
4	Móra	PROPN	2	flat
5	de	ADP	6	case
6	Ebre	PROPN	2	flat
7	ha	AUX	8	aux
8	aportado	VERB	0	root
9	16	NUM	10	nummod
10	millones	NOUN	8	obj
11	y	CCONJ	20	cc
12	el	DET	13	det
13	Consell	PROPN	20	nsubj
14	Comarcal	PROPN	13	flat
15	de	ADP	17	case
16	la	DET	17	det
17	Ribera	PROPN	13	flat
18	d'Ebre	PROPN	13	flat
19	ha	AUX	20	aux
20	establecido	VERB	8	conj
21	ayudas	NOUN	20	obj
22	de	ADP	24	case
23	300.000	NUM	24	nummod
24	pesetas	NOUN	21	nmod
25	por	ADP	26	case
26	puesto	NOUN	24	nmod
27	de	ADP	28	case
28	trabajo	NOUN	26	nmod
29	creado	ADJ	28	amod
30	.	PUNCT	8	punct