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:
Con la película casi terminada, los directores contactaron con varias productoras que rechazaron el producto hasta que Mireia Ros y Marta Figueras, de Bailando con todos, decidieron acabar la producción.
Postion	Tokenization
1	Con
2	la
3	película
4	casi
5	terminada
6	,
7	los
8	directores
9	contactaron
10	con
11	varias
12	productoras
13	que
14	rechazaron
15	el
16	producto
17	hasta
18	que
19	Mireia
20	Ros
21	y
22	Marta
23	Figueras
24	,
25	de
26	Bailando
27	con
28	todos
29	,
30	decidieron
31	acabar
32	la
33	producción
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	3	case
2	la	DET	3	det
3	película	NOUN	9	obl
4	casi	ADV	5	advmod
5	terminada	ADJ	3	amod
6	,	PUNCT	3	punct
7	los	DET	8	det
8	directores	NOUN	9	nsubj
9	contactaron	VERB	0	root
10	con	ADP	12	case
11	varias	DET	12	det
12	productoras	NOUN	9	obj
13	que	PRON	14	nsubj
14	rechazaron	VERB	12	acl
15	el	DET	16	det
16	producto	NOUN	14	obj
17	hasta	ADP	30	mark
18	que	SCONJ	30	mark
19	Mireia	PROPN	30	nsubj
20	Ros	PROPN	19	flat
21	y	CCONJ	22	cc
22	Marta	PROPN	19	conj
23	Figueras	PROPN	22	flat
24	,	PUNCT	26	punct
25	de	ADP	26	case
26	Bailando	PROPN	19	nmod
27	con	ADP	28	case
28	todos	PROPN	26	flat
29	,	PUNCT	26	punct
30	decidieron	VERB	9	advcl
31	acabar	VERB	30	xcomp
32	la	DET	33	det
33	producción	NOUN	31	obj
34	.	PUNCT	9	punct