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:
Código natural, que se rodó con un presupuesto de 140 millones de pesetas, llega a las salas de forma limitada: se estrena en una docena de cines.
Postion	Tokenization
1	Código
2	natural
3	,
4	que
5	se
6	rodó
7	con
8	un
9	presupuesto
10	de
11	140
12	millones
13	de
14	pesetas
15	,
16	llega
17	a
18	las
19	salas
20	de
21	forma
22	limitada
23	:
24	se
25	estrena
26	en
27	una
28	docena
29	de
30	cines
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Código	PROPN	16	nsubj
2	natural	PROPN	1	flat
3	,	PUNCT	6	punct
4	que	PRON	6	nsubj
5	se	PRON	6	expl:pass
6	rodó	VERB	1	acl
7	con	ADP	9	case
8	un	DET	9	det
9	presupuesto	NOUN	6	obl
10	de	ADP	12	case
11	140	NUM	12	nummod
12	millones	NOUN	9	nmod
13	de	ADP	14	case
14	pesetas	NOUN	12	nmod
15	,	PUNCT	6	punct
16	llega	VERB	0	root
17	a	ADP	19	case
18	las	DET	19	det
19	salas	NOUN	16	obl
20	de	ADP	21	case
21	forma	NOUN	16	obl
22	limitada	ADJ	21	amod
23	:	PUNCT	25	punct
24	se	PRON	25	expl:pass
25	estrena	VERB	16	advcl
26	en	ADP	30	case
27	una	DET	28	det
28	docena	NOUN	30	nmod
29	de	ADP	28	case
30	cines	NOUN	25	obl
31	.	PUNCT	16	punct