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:
Los actores, que logran hacer creíbles sus personajes, recibieron instrucciones muy precisas: había que hacer muy bien la primera toma "porque no había dinero para hacer una segunda", según los realizadores.
Postion	Tokenization
1	Los
2	actores
3	,
4	que
5	logran
6	hacer
7	creíbles
8	sus
9	personajes
10	,
11	recibieron
12	instrucciones
13	muy
14	precisas
15	:
16	había
17	que
18	hacer
19	muy
20	bien
21	la
22	primera
23	toma
24	"
25	porque
26	no
27	había
28	dinero
29	para
30	hacer
31	una
32	segunda
33	"
34	,
35	según
36	los
37	realizadores
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	actores	NOUN	11	nsubj
3	,	PUNCT	5	punct
4	que	PRON	5	nsubj
5	logran	VERB	2	acl
6	hacer	VERB	5	xcomp
7	creíbles	ADJ	6	obj
8	sus	DET	9	det
9	personajes	NOUN	6	obj
10	,	PUNCT	5	punct
11	recibieron	VERB	0	root
12	instrucciones	NOUN	11	obj
13	muy	ADV	14	advmod
14	precisas	ADJ	12	amod
15	:	PUNCT	16	punct
16	había	AUX	12	acl
17	que	SCONJ	18	cc
18	hacer	VERB	16	conj
19	muy	ADV	20	advmod
20	bien	ADV	18	obj
21	la	DET	23	det
22	primera	ADJ	23	amod
23	toma	NOUN	18	obj
24	"	PUNCT	27	punct
25	porque	SCONJ	27	mark
26	no	ADV	27	advmod
27	había	AUX	18	advcl
28	dinero	NOUN	27	obj
29	para	ADP	30	mark
30	hacer	VERB	28	acl
31	una	DET	32	det
32	segunda	ADJ	30	obj
33	"	PUNCT	27	punct
34	,	PUNCT	37	punct
35	según	ADP	37	case
36	los	DET	37	det
37	realizadores	NOUN	27	obl
38	.	PUNCT	11	punct