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:
Rodada en Nueva York y en inglés con actores norteamericanos y un catalán, la película se filmó en dos etapas con un presupuesto de tres millones de pesetas.
Postion	Tokenization
1	Rodada
2	en
3	Nueva
4	York
5	y
6	en
7	inglés
8	con
9	actores
10	norteamericanos
11	y
12	un
13	catalán
14	,
15	la
16	película
17	se
18	filmó
19	en
20	dos
21	etapas
22	con
23	un
24	presupuesto
25	de
26	tres
27	millones
28	de
29	pesetas
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rodada	ADJ	16	amod
2	en	ADP	3	case
3	Nueva	PROPN	1	obl
4	York	PROPN	3	flat
5	y	CCONJ	7	cc
6	en	ADP	7	case
7	inglés	NOUN	3	conj
8	con	ADP	9	case
9	actores	NOUN	1	obl
10	norteamericanos	ADJ	9	amod
11	y	CCONJ	13	cc
12	un	DET	13	det
13	catalán	NOUN	9	conj
14	,	PUNCT	1	punct
15	la	DET	16	det
16	película	NOUN	18	nsubj
17	se	PRON	18	expl:pass
18	filmó	VERB	0	root
19	en	ADP	21	case
20	dos	NUM	21	nummod
21	etapas	NOUN	18	obl
22	con	ADP	24	case
23	un	DET	24	det
24	presupuesto	NOUN	18	obl
25	de	ADP	27	case
26	tres	NUM	27	nummod
27	millones	NOUN	24	nmod
28	de	ADP	29	case
29	pesetas	NOUN	27	nmod
30	.	PUNCT	18	punct