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 guión de la obra no estaba planificado previamente, sino que se ha ido detallando a medida que avanzaban los ensayos, adaptándose a las propias peculiaridades de los actores.
Postion	Tokenization
1	El
2	guión
3	de
4	la
5	obra
6	no
7	estaba
8	planificado
9	previamente
10	,
11	sino
12	que
13	se
14	ha
15	ido
16	detallando
17	a
18	medida
19	que
20	avanzaban
21	los
22	ensayos
23	,
24	adaptándose
25	adaptando
26	se
27	a
28	las
29	propias
30	peculiaridades
31	de
32	los
33	actores
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	guión	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	obra	NOUN	2	nmod
6	no	ADV	8	advmod
7	estaba	AUX	8	cop
8	planificado	ADJ	11	parataxis
9	previamente	ADV	8	advmod
10	,	PUNCT	11	punct
11	sino	CCONJ	0	root
12	que	SCONJ	11	fixed
13	se	PRON	16	expl:pass
14	ha	AUX	16	aux
15	ido	AUX	16	aux
16	detallando	VERB	11	parataxis
17	a	ADP	20	mark
18	medida	NOUN	17	fixed
19	que	SCONJ	17	fixed
20	avanzaban	VERB	16	advcl
21	los	DET	22	det
22	ensayos	NOUN	20	nsubj
23	,	PUNCT	20	punct
24	adaptándose	_	None	_
25	adaptando	VERB	20	advcl
26	se	PRON	24	expl:pv
27	a	ADP	29	case
28	las	DET	29	det
29	propias	ADJ	29	amod
30	peculiaridades	NOUN	24	obj
31	de	ADP	32	case
32	los	DET	32	det
33	actores	NOUN	29	nmod
34	.	PUNCT	11	punct