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 presupuesto de esta producción de Sogecine es de 850 millones de pesetas y el rodaje se ha llevado a cabo en Portugal, Huesca, Asturias, Navarra, Andalucía y Madrid.
Postion	Tokenization
1	El
2	presupuesto
3	de
4	esta
5	producción
6	de
7	Sogecine
8	es
9	de
10	850
11	millones
12	de
13	pesetas
14	y
15	el
16	rodaje
17	se
18	ha
19	llevado
20	a
21	cabo
22	en
23	Portugal
24	,
25	Huesca
26	,
27	Asturias
28	,
29	Navarra
30	,
31	Andalucía
32	y
33	Madrid
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presupuesto	NOUN	11	nsubj
3	de	ADP	5	case
4	esta	DET	5	det
5	producción	NOUN	2	nmod
6	de	ADP	7	case
7	Sogecine	PROPN	5	nmod
8	es	AUX	11	cop
9	de	ADP	11	case
10	850	NUM	11	nummod
11	millones	NOUN	0	root
12	de	ADP	13	case
13	pesetas	NOUN	11	nmod
14	y	CCONJ	19	cc
15	el	DET	16	det
16	rodaje	NOUN	19	nsubj
17	se	PRON	19	expl:pass
18	ha	AUX	19	aux
19	llevado	VERB	11	conj
20	a	ADP	21	case
21	cabo	NOUN	19	compound
22	en	ADP	23	case
23	Portugal	PROPN	19	obl
24	,	PUNCT	25	punct
25	Huesca	PROPN	23	conj
26	,	PUNCT	27	punct
27	Asturias	PROPN	23	conj
28	,	PUNCT	29	punct
29	Navarra	PROPN	23	conj
30	,	PUNCT	31	punct
31	Andalucía	PROPN	23	conj
32	y	CCONJ	33	cc
33	Madrid	PROPN	23	conj
34	.	PUNCT	11	punct