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:
Naser fue condenado a 12 penas de 10 años cada una por "colaboración, desde un puesto de responsabilidad, con el enemigo israelí".
Postion	Tokenization
1	Naser
2	fue
3	condenado
4	a
5	12
6	penas
7	de
8	10
9	años
10	cada
11	una
12	por
13	"
14	colaboración
15	,
16	desde
17	un
18	puesto
19	de
20	responsabilidad
21	,
22	con
23	el
24	enemigo
25	israelí
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Naser	PROPN	3	nsubj
2	fue	AUX	3	aux
3	condenado	VERB	0	root
4	a	ADP	6	case
5	12	NUM	6	nummod
6	penas	NOUN	3	obj
7	de	ADP	9	case
8	10	NUM	9	nummod
9	años	NOUN	6	nmod
10	cada	DET	11	det
11	una	PRON	6	appos
12	por	ADP	14	case
13	"	PUNCT	14	punct
14	colaboración	NOUN	3	obl
15	,	PUNCT	18	punct
16	desde	ADP	18	case
17	un	DET	18	det
18	puesto	NOUN	14	nmod
19	de	ADP	20	case
20	responsabilidad	NOUN	18	nmod
21	,	PUNCT	18	punct
22	con	ADP	24	case
23	el	DET	24	det
24	enemigo	NOUN	14	nmod
25	israelí	ADJ	24	amod
26	"	PUNCT	14	punct
27	.	PUNCT	3	punct