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:
Y mientras el Gobierno de Madrid llamaba inútilmente en puertas supuestamente amigas (Francia fue un caso paradigmático), las otras puertas, las ajenas, se iban cerrando paulatinamente.
Postion	Tokenization
1	Y
2	mientras
3	el
4	Gobierno
5	de
6	Madrid
7	llamaba
8	inútilmente
9	en
10	puertas
11	supuestamente
12	amigas
13	(
14	Francia
15	fue
16	un
17	caso
18	paradigmático
19	)
20	,
21	las
22	otras
23	puertas
24	,
25	las
26	ajenas
27	,
28	se
29	iban
30	cerrando
31	paulatinamente
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	30	advmod
2	mientras	SCONJ	7	mark
3	el	DET	4	det
4	Gobierno	PROPN	7	nsubj
5	de	ADP	6	case
6	Madrid	PROPN	4	flat
7	llamaba	VERB	30	advcl
8	inútilmente	ADV	7	advmod
9	en	ADP	10	case
10	puertas	NOUN	7	obl
11	supuestamente	ADV	12	advmod
12	amigas	ADJ	10	amod
13	(	PUNCT	17	punct
14	Francia	PROPN	17	nsubj
15	fue	AUX	17	cop
16	un	DET	17	det
17	caso	NOUN	7	parataxis
18	paradigmático	ADJ	17	amod
19	)	PUNCT	17	punct
20	,	PUNCT	7	punct
21	las	DET	23	det
22	otras	DET	21	det
23	puertas	NOUN	30	nsubj
24	,	PUNCT	26	punct
25	las	DET	26	det
26	ajenas	ADJ	23	appos
27	,	PUNCT	26	punct
28	se	PRON	30	expl:pass
29	iban	AUX	30	aux
30	cerrando	VERB	0	root
31	paulatinamente	ADV	30	advmod
32	.	PUNCT	30	punct