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:
Su participada Gas Natural también retrocedió un 4,01 por ciento hasta situarse en los 18,91 euros, a pesar de que la demanda de gas había subido considerablemente por el frío.
Postion	Tokenization
1	Su
2	participada
3	Gas
4	Natural
5	también
6	retrocedió
7	un
8	4,01
9	por
10	ciento
11	hasta
12	situarse
13	situar
14	se
15	en
16	los
17	18,91
18	euros
19	,
20	a
21	pesar
22	de
23	que
24	la
25	demanda
26	de
27	gas
28	había
29	subido
30	considerablemente
31	por
32	el
33	frío
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	3	det
2	participada	ADJ	3	amod
3	Gas	PROPN	6	nsubj
4	Natural	PROPN	3	flat
5	también	ADV	6	advmod
6	retrocedió	VERB	0	root
7	un	DET	8	det
8	4,01	NUM	6	obj
9	por	ADP	10	case
10	ciento	NUM	8	compound
11	hasta	ADP	12	mark
12	situarse	_	None	_
13	situar	VERB	6	advcl
14	se	PRON	12	expl:pv
15	en	ADP	17	case
16	los	DET	16	det
17	18,91	NUM	17	nummod
18	euros	NOUN	12	obj
19	,	PUNCT	28	punct
20	a	ADP	28	mark
21	pesar	NOUN	19	fixed
22	de	ADP	19	fixed
23	que	SCONJ	19	fixed
24	la	DET	24	det
25	demanda	NOUN	28	nsubj
26	de	ADP	26	case
27	gas	NOUN	24	nmod
28	había	AUX	28	aux
29	subido	VERB	6	advcl
30	considerablemente	ADV	28	advmod
31	por	ADP	32	case
32	el	DET	32	det
33	frío	NOUN	28	obl
34	.	PUNCT	6	punct