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 agentes acabaron deteniendo a la joven - - que pasó 10 horas arrestada - -, en el momento en que llegaba su padre con los papeles que faltaban.
Postion	Tokenization
1	Los
2	agentes
3	acabaron
4	deteniendo
5	a
6	la
7	joven
8	-
9	-
10	que
11	pasó
12	10
13	horas
14	arrestada
15	-
16	-
17	,
18	en
19	el
20	momento
21	en
22	que
23	llegaba
24	su
25	padre
26	con
27	los
28	papeles
29	que
30	faltaban
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	agentes	NOUN	3	nsubj
3	acabaron	VERB	0	root
4	deteniendo	VERB	3	xcomp
5	a	ADP	7	case
6	la	DET	7	det
7	joven	NOUN	4	obj
8	-	PUNCT	11	punct
9	-	PUNCT	11	punct
10	que	PRON	11	nsubj
11	pasó	VERB	7	acl
12	10	NUM	13	nummod
13	horas	NOUN	11	obj
14	arrestada	ADJ	11	obj
15	-	PUNCT	11	punct
16	-	PUNCT	11	punct
17	,	PUNCT	20	punct
18	en	ADP	20	case
19	el	DET	20	det
20	momento	NOUN	3	obl
21	en	ADP	22	case
22	que	PRON	23	obl
23	llegaba	VERB	20	acl
24	su	DET	25	det
25	padre	NOUN	23	nsubj
26	con	ADP	28	case
27	los	DET	28	det
28	papeles	NOUN	23	obl
29	que	PRON	30	nsubj
30	faltaban	VERB	28	acl
31	.	PUNCT	3	punct