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:
Ha realizado dos filmes en esta línea, Oleanna, que adaptaba una de sus obras, y El caso Winslow, versión de una sugerente pieza del británico Terence Rattigan.
Postion	Tokenization
1	Ha
2	realizado
3	dos
4	filmes
5	en
6	esta
7	línea
8	,
9	Oleanna
10	,
11	que
12	adaptaba
13	una
14	de
15	sus
16	obras
17	,
18	y
19	El
20	caso
21	Winslow
22	,
23	versión
24	de
25	una
26	sugerente
27	pieza
28	del
29	británico
30	Terence
31	Rattigan
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Ha	AUX	2	aux
2	realizado	VERB	0	root
3	dos	NUM	4	nummod
4	filmes	NOUN	2	obj
5	en	ADP	7	case
6	esta	DET	7	det
7	línea	NOUN	4	nmod
8	,	PUNCT	9	punct
9	Oleanna	PROPN	4	appos
10	,	PUNCT	12	punct
11	que	PRON	12	nsubj
12	adaptaba	VERB	9	acl
13	una	PRON	12	obj
14	de	ADP	16	case
15	sus	DET	16	det
16	obras	NOUN	13	nmod
17	,	PUNCT	12	punct
18	y	CCONJ	20	cc
19	El	DET	20	det
20	caso	PROPN	9	conj
21	Winslow	PROPN	20	flat
22	,	PUNCT	23	punct
23	versión	NOUN	19	appos
24	de	ADP	27	case
25	una	DET	27	det
26	sugerente	ADJ	27	amod
27	pieza	NOUN	23	nmod
28	del	ADP	29	case
29	británico	NOUN	27	nmod
30	Terence	PROPN	29	appos
31	Rattigan	PROPN	30	flat
32	.	PUNCT	2	punct