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:
Desde el PSOE, el secretario de Política Económica, Jordi Sevilla, pidió al Gobierno que siga el ejemplo del Gobierno francés y baje los impuestos de los carburantes.
Postion	Tokenization
1	Desde
2	el
3	PSOE
4	,
5	el
6	secretario
7	de
8	Política
9	Económica
10	,
11	Jordi
12	Sevilla
13	,
14	pidió
15	al
16	Gobierno
17	que
18	siga
19	el
20	ejemplo
21	del
22	Gobierno
23	francés
24	y
25	baje
26	los
27	impuestos
28	de
29	los
30	carburantes
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Desde	ADP	3	case
2	el	DET	3	det
3	PSOE	PROPN	14	obl
4	,	PUNCT	3	punct
5	el	DET	6	det
6	secretario	NOUN	14	nsubj
7	de	ADP	8	case
8	Política	PROPN	6	nmod
9	Económica	PROPN	8	flat
10	,	PUNCT	11	punct
11	Jordi	PROPN	6	appos
12	Sevilla	PROPN	11	flat
13	,	PUNCT	11	punct
14	pidió	VERB	0	root
15	al	ADP	16	case
16	Gobierno	PROPN	14	iobj
17	que	SCONJ	18	mark
18	siga	VERB	14	ccomp
19	el	DET	20	det
20	ejemplo	NOUN	18	obj
21	del	ADP	22	case
22	Gobierno	PROPN	20	nmod
23	francés	ADJ	22	amod
24	y	CCONJ	25	cc
25	baje	VERB	18	conj
26	los	DET	27	det
27	impuestos	NOUN	25	obj
28	de	ADP	30	case
29	los	DET	30	det
30	carburantes	NOUN	27	nmod
31	.	PUNCT	14	punct