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 presentación de su programa político ante la Cámara de Representantes jordana, que le apoyó con 74 votos a favor y 6 abstenciones, Abul Ragheb manifestó su intención de trabajar para conseguir el levantamiento de las sanciones internacionales impuestas a Irak hace diez años, cuando sus tropas invadieron Kuwait.
Postion	Tokenization
1	En
2	la
3	presentación
4	de
5	su
6	programa
7	político
8	ante
9	la
10	Cámara
11	de
12	Representantes
13	jordana
14	,
15	que
16	le
17	apoyó
18	con
19	74
20	votos
21	a
22	favor
23	y
24	6
25	abstenciones
26	,
27	Abul
28	Ragheb
29	manifestó
30	su
31	intención
32	de
33	trabajar
34	para
35	conseguir
36	el
37	levantamiento
38	de
39	las
40	sanciones
41	internacionales
42	impuestas
43	a
44	Irak
45	hace
46	diez
47	años
48	,
49	cuando
50	sus
51	tropas
52	invadieron
53	Kuwait
54	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	la	DET	3	det
3	presentación	NOUN	29	obl
4	de	ADP	6	case
5	su	DET	6	det
6	programa	NOUN	3	nmod
7	político	ADJ	6	amod
8	ante	ADP	10	case
9	la	DET	10	det
10	Cámara	PROPN	3	nmod
11	de	ADP	12	case
12	Representantes	PROPN	10	flat
13	jordana	ADJ	10	amod
14	,	PUNCT	17	punct
15	que	PRON	17	nsubj
16	le	PRON	17	obj
17	apoyó	VERB	10	acl
18	con	ADP	20	case
19	74	NUM	20	nummod
20	votos	NOUN	17	obl
21	a	ADP	22	case
22	favor	NOUN	20	nmod
23	y	CCONJ	25	cc
24	6	NUM	25	nummod
25	abstenciones	NOUN	20	conj
26	,	PUNCT	17	punct
27	Abul	PROPN	29	nsubj
28	Ragheb	PROPN	27	flat
29	manifestó	VERB	0	root
30	su	DET	31	det
31	intención	NOUN	29	obj
32	de	ADP	33	mark
33	trabajar	VERB	31	acl
34	para	ADP	35	mark
35	conseguir	VERB	33	advcl
36	el	DET	37	det
37	levantamiento	NOUN	35	obj
38	de	ADP	40	case
39	las	DET	40	det
40	sanciones	NOUN	37	nmod
41	internacionales	ADJ	40	amod
42	impuestas	ADJ	40	amod
43	a	ADP	44	case
44	Irak	PROPN	42	obj
45	hace	VERB	42	advcl
46	diez	NUM	47	nummod
47	años	NOUN	45	obj
48	,	PUNCT	52	punct
49	cuando	PRON	52	obl
50	sus	DET	51	det
51	tropas	NOUN	52	nsubj
52	invadieron	VERB	47	acl
53	Kuwait	PROPN	52	obj
54	.	PUNCT	29	punct