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:
Solo en la cocina de su gran casa, se dedica a preparar exquisitos platos culinarios siguiendo atentamente las indicaciones grabadas en vídeo que da su madre - - interpretada por la esposa del realizador, Arsinée Khanjian - -, una experta chef de tiempos pretéritos.
Postion	Tokenization
1	Solo
2	en
3	la
4	cocina
5	de
6	su
7	gran
8	casa
9	,
10	se
11	dedica
12	a
13	preparar
14	exquisitos
15	platos
16	culinarios
17	siguiendo
18	atentamente
19	las
20	indicaciones
21	grabadas
22	en
23	vídeo
24	que
25	da
26	su
27	madre
28	-
29	-
30	interpretada
31	por
32	la
33	esposa
34	del
35	realizador
36	,
37	Arsinée
38	Khanjian
39	-
40	-
41	,
42	una
43	experta
44	chef
45	de
46	tiempos
47	pretéritos
48	.
Position	Tokenization	UPOS	Head	Deprel
1	Solo	ADJ	11	iobj
2	en	ADP	4	case
3	la	DET	4	det
4	cocina	NOUN	11	obl
5	de	ADP	8	case
6	su	DET	8	det
7	gran	ADJ	8	amod
8	casa	NOUN	4	nmod
9	,	PUNCT	11	punct
10	se	PRON	11	expl:pv
11	dedica	VERB	0	root
12	a	ADP	13	mark
13	preparar	VERB	11	xcomp
14	exquisitos	ADJ	15	amod
15	platos	NOUN	13	obj
16	culinarios	ADJ	15	amod
17	siguiendo	VERB	11	advcl
18	atentamente	ADV	17	advmod
19	las	DET	20	det
20	indicaciones	NOUN	17	obj
21	grabadas	ADJ	20	amod
22	en	ADP	23	case
23	vídeo	NOUN	21	obl
24	que	PRON	25	obj
25	da	VERB	20	acl
26	su	DET	27	det
27	madre	NOUN	25	nsubj
28	-	PUNCT	30	punct
29	-	PUNCT	30	punct
30	interpretada	ADJ	27	amod
31	por	ADP	33	case
32	la	DET	33	det
33	esposa	NOUN	30	obj
34	del	ADP	35	case
35	realizador	NOUN	33	nmod
36	,	PUNCT	37	punct
37	Arsinée	PROPN	33	appos
38	Khanjian	PROPN	37	flat
39	-	PUNCT	30	punct
40	-	PUNCT	30	punct
41	,	PUNCT	44	punct
42	una	DET	44	det
43	experta	ADJ	44	amod
44	chef	NOUN	27	appos
45	de	ADP	46	case
46	tiempos	NOUN	44	nmod
47	pretéritos	ADJ	46	amod
48	.	PUNCT	11	punct