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 PSOE piensa que esta decisión marcará una mala entrada de año para las familias más desfavorecidas porque ellas son las que más usan el gas butano en sus casas.
Postion	Tokenization
1	El
2	PSOE
3	piensa
4	que
5	esta
6	decisión
7	marcará
8	una
9	mala
10	entrada
11	de
12	año
13	para
14	las
15	familias
16	más
17	desfavorecidas
18	porque
19	ellas
20	son
21	las
22	que
23	más
24	usan
25	el
26	gas
27	butano
28	en
29	sus
30	casas
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	PSOE	PROPN	3	nsubj
3	piensa	VERB	0	root
4	que	SCONJ	7	mark
5	esta	DET	6	det
6	decisión	NOUN	7	nsubj
7	marcará	VERB	3	ccomp
8	una	DET	10	det
9	mala	ADJ	10	amod
10	entrada	NOUN	7	obj
11	de	ADP	12	case
12	año	NOUN	10	nmod
13	para	ADP	15	case
14	las	DET	15	det
15	familias	NOUN	10	nmod
16	más	ADV	17	advmod
17	desfavorecidas	ADJ	15	amod
18	porque	SCONJ	20	mark
19	ellas	PRON	20	nsubj
20	son	AUX	7	advcl
21	las	DET	24	det
22	que	PRON	24	nsubj
23	más	ADV	24	advmod
24	usan	VERB	20	ccomp
25	el	DET	26	det
26	gas	NOUN	24	obj
27	butano	ADJ	26	amod
28	en	ADP	30	case
29	sus	DET	30	det
30	casas	NOUN	24	obl
31	.	PUNCT	3	punct