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:
La otra película en concurso fue Mi casa es tu casa, el debut en el largometraje de Miguel Álvarez, nacido en Suiza de padres españoles y formado en Nueva York.
Postion	Tokenization
1	La
2	otra
3	película
4	en
5	concurso
6	fue
7	Mi
8	casa
9	es
10	tu
11	casa
12	,
13	el
14	debut
15	en
16	el
17	largometraje
18	de
19	Miguel
20	Álvarez
21	,
22	nacido
23	en
24	Suiza
25	de
26	padres
27	españoles
28	y
29	formado
30	en
31	Nueva
32	York
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	3	det
2	otra	DET	1	det
3	película	NOUN	7	nsubj
4	en	ADP	5	case
5	concurso	NOUN	3	nmod
6	fue	AUX	7	cop
7	Mi	PROPN	0	root
8	casa	PROPN	7	flat
9	es	PROPN	7	flat
10	tu	PROPN	7	flat
11	casa	PROPN	7	flat
12	,	PUNCT	14	punct
13	el	DET	14	det
14	debut	NOUN	7	appos
15	en	ADP	17	case
16	el	DET	17	det
17	largometraje	NOUN	14	nmod
18	de	ADP	19	case
19	Miguel	PROPN	14	nmod
20	Álvarez	PROPN	19	flat
21	,	PUNCT	22	punct
22	nacido	ADJ	19	amod
23	en	ADP	24	case
24	Suiza	PROPN	22	obl
25	de	ADP	26	case
26	padres	NOUN	22	obl
27	españoles	ADJ	26	amod
28	y	CCONJ	29	cc
29	formado	ADJ	22	conj
30	en	ADP	31	case
31	Nueva	PROPN	29	obl
32	York	PROPN	31	flat
33	.	PUNCT	7	punct