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 viaje de Felicia se situaría en un terreno próximo al de El dulce porvenir, la anterior y magnífica película del cineasta armeniocanadiense Atom Egoyan, uno de los referentes más importantes del cine contemporáneo.
Postion	Tokenization
1	El
2	viaje
3	de
4	Felicia
5	se
6	situaría
7	en
8	un
9	terreno
10	próximo
11	al
12	de
13	El
14	dulce
15	porvenir
16	,
17	la
18	anterior
19	y
20	magnífica
21	película
22	del
23	cineasta
24	armeniocanadiense
25	Atom
26	Egoyan
27	,
28	uno
29	de
30	los
31	referentes
32	más
33	importantes
34	del
35	cine
36	contemporáneo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	viaje	PROPN	6	nsubj
3	de	ADP	4	case
4	Felicia	PROPN	1	flat
5	se	PRON	6	expl:pv
6	situaría	VERB	0	root
7	en	ADP	9	case
8	un	DET	9	det
9	terreno	NOUN	6	obl
10	próximo	ADJ	9	amod
11	al	ADP	14	case
12	de	ADP	14	case
13	El	DET	14	det
14	dulce	PROPN	10	nmod
15	porvenir	PROPN	14	flat
16	,	PUNCT	21	punct
17	la	DET	21	det
18	anterior	ADJ	21	amod
19	y	CCONJ	20	cc
20	magnífica	ADJ	18	conj
21	película	NOUN	13	appos
22	del	ADP	23	case
23	cineasta	NOUN	21	nmod
24	armeniocanadiense	ADJ	23	amod
25	Atom	PROPN	23	appos
26	Egoyan	PROPN	25	flat
27	,	PUNCT	28	punct
28	uno	PRON	23	appos
29	de	ADP	31	case
30	los	DET	31	det
31	referentes	NOUN	28	nmod
32	más	ADV	33	advmod
33	importantes	ADJ	31	amod
34	del	ADP	35	case
35	cine	NOUN	31	nmod
36	contemporáneo	ADJ	35	amod
37	.	PUNCT	6	punct