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 conseller Artur Mas lamentó ayer mismo haber tenido que votar en contra del decreto, que también incluía otras medidas aceptadas por CiU, como la liberalización de los sectores energéticos.
Postion	Tokenization
1	El
2	conseller
3	Artur
4	Mas
5	lamentó
6	ayer
7	mismo
8	haber
9	tenido
10	que
11	votar
12	en
13	contra
14	del
15	decreto
16	,
17	que
18	también
19	incluía
20	otras
21	medidas
22	aceptadas
23	por
24	CiU
25	,
26	como
27	la
28	liberalización
29	de
30	los
31	sectores
32	energéticos
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	conseller	NOUN	5	nsubj
3	Artur	PROPN	2	appos
4	Mas	PROPN	3	flat
5	lamentó	VERB	0	root
6	ayer	ADV	5	advmod
7	mismo	ADJ	6	amod
8	haber	AUX	11	aux
9	tenido	VERB	5	ccomp
10	que	SCONJ	11	cc
11	votar	VERB	9	conj
12	en	ADP	15	case
13	contra	NOUN	12	fixed
14	del	ADP	12	fixed
15	decreto	NOUN	11	obl
16	,	PUNCT	19	punct
17	que	PRON	19	nsubj
18	también	ADV	19	advmod
19	incluía	VERB	15	acl
20	otras	DET	21	det
21	medidas	NOUN	19	obj
22	aceptadas	ADJ	21	amod
23	por	ADP	24	case
24	CiU	PROPN	22	obj
25	,	PUNCT	28	punct
26	como	SCONJ	28	mark
27	la	DET	28	det
28	liberalización	NOUN	21	nmod
29	de	ADP	31	case
30	los	DET	31	det
31	sectores	NOUN	28	nmod
32	energéticos	ADJ	31	amod
33	.	PUNCT	5	punct