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 arrestado, M. C. S., ya fue condenado por idéntico motivo a dos años de cárcel, pero la ejecución de la sentencia se halla suspendida.
Postion	Tokenization
1	El
2	arrestado
3	,
4	M.
5	C.
6	S.
7	,
8	ya
9	fue
10	condenado
11	por
12	idéntico
13	motivo
14	a
15	dos
16	años
17	de
18	cárcel
19	,
20	pero
21	la
22	ejecución
23	de
24	la
25	sentencia
26	se
27	halla
28	suspendida
29	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	arrestado	ADJ	10	nsubj
3	,	PUNCT	4	punct
4	M.	PROPN	2	obj
5	C.	PROPN	4	flat
6	S.	PROPN	4	flat
7	,	PUNCT	4	punct
8	ya	ADV	10	advmod
9	fue	AUX	10	aux
10	condenado	VERB	0	root
11	por	ADP	13	case
12	idéntico	ADJ	13	amod
13	motivo	NOUN	10	obl
14	a	ADP	16	case
15	dos	NUM	16	nummod
16	años	NOUN	10	obj
17	de	ADP	18	case
18	cárcel	NOUN	16	nmod
19	,	PUNCT	27	punct
20	pero	CCONJ	27	cc
21	la	DET	22	det
22	ejecución	NOUN	27	nsubj
23	de	ADP	25	case
24	la	DET	25	det
25	sentencia	NOUN	22	nmod
26	se	PRON	27	expl:pv
27	halla	VERB	10	conj
28	suspendida	ADJ	27	obj
29	.	PUNCT	10	punct