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:
En la localidad de Rafah, situada en el sur de la franja de Gaza, una niña de 2 años perdió la vida por el impacto de un obús disparado por un tanque israelí.
Postion	Tokenization
1	En
2	la
3	localidad
4	de
5	Rafah
6	,
7	situada
8	en
9	el
10	sur
11	de
12	la
13	franja
14	de
15	Gaza
16	,
17	una
18	niña
19	de
20	2
21	años
22	perdió
23	la
24	vida
25	por
26	el
27	impacto
28	de
29	un
30	obús
31	disparado
32	por
33	un
34	tanque
35	israelí
36	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	localidad	NOUN	22	obl
4	de	ADP	5	case
5	Rafah	PROPN	3	nmod
6	,	PUNCT	7	punct
7	situada	ADJ	3	amod
8	en	ADP	10	case
9	el	DET	10	det
10	sur	NOUN	7	obl
11	de	ADP	13	case
12	la	DET	13	det
13	franja	NOUN	10	nmod
14	de	ADP	15	case
15	Gaza	PROPN	13	nmod
16	,	PUNCT	7	punct
17	una	DET	18	det
18	niña	NOUN	22	nsubj
19	de	ADP	21	case
20	2	NUM	21	nummod
21	años	NOUN	18	nmod
22	perdió	VERB	0	root
23	la	DET	24	det
24	vida	NOUN	22	obj
25	por	ADP	27	case
26	el	DET	27	det
27	impacto	NOUN	22	obl
28	de	ADP	30	case
29	un	DET	30	det
30	obús	NOUN	27	nmod
31	disparado	ADJ	30	amod
32	por	ADP	34	case
33	un	DET	34	det
34	tanque	NOUN	31	obj
35	israelí	ADJ	34	amod
36	.	PUNCT	22	punct