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 Tribunal de Apelación de París se pronunciará mañana sobre las demandas presentadas por Al Fayed y la familia del chófer Henri Paul para que se lleve a cabo una investigación complementaria dentro del sumario sobre la muerte de Diana de Gales, quien hoy habría cumplido 38 años.
Postion	Tokenization
1	El
2	Tribunal
3	de
4	Apelación
5	de
6	París
7	se
8	pronunciará
9	mañana
10	sobre
11	las
12	demandas
13	presentadas
14	por
15	Al
16	Fayed
17	y
18	la
19	familia
20	del
21	chófer
22	Henri
23	Paul
24	para
25	que
26	se
27	lleve
28	a
29	cabo
30	una
31	investigación
32	complementaria
33	dentro
34	del
35	sumario
36	sobre
37	la
38	muerte
39	de
40	Diana
41	de
42	Gales
43	,
44	quien
45	hoy
46	habría
47	cumplido
48	38
49	años
50	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Tribunal	PROPN	8	nsubj
3	de	ADP	4	case
4	Apelación	PROPN	2	flat
5	de	ADP	6	case
6	París	PROPN	2	flat
7	se	PRON	8	expl:pv
8	pronunciará	VERB	0	root
9	mañana	ADV	8	advmod
10	sobre	ADP	12	case
11	las	DET	12	det
12	demandas	NOUN	8	obj
13	presentadas	ADJ	12	amod
14	por	ADP	16	case
15	Al	ADP	16	case
16	Fayed	PROPN	13	obj
17	y	CCONJ	19	cc
18	la	DET	19	det
19	familia	NOUN	16	conj
20	del	ADP	21	case
21	chófer	NOUN	19	nmod
22	Henri	PROPN	21	appos
23	Paul	PROPN	22	flat
24	para	ADP	27	mark
25	que	SCONJ	27	mark
26	se	PRON	27	expl:pass
27	lleve	VERB	8	advcl
28	a	ADP	29	case
29	cabo	NOUN	27	compound
30	una	DET	31	det
31	investigación	NOUN	27	nsubj
32	complementaria	ADJ	31	amod
33	dentro	ADV	31	advmod
34	del	ADP	35	case
35	sumario	NOUN	33	obl
36	sobre	ADP	38	case
37	la	DET	38	det
38	muerte	NOUN	35	nmod
39	de	ADP	40	case
40	Diana	PROPN	38	nmod
41	de	ADP	42	case
42	Gales	PROPN	40	flat
43	,	PUNCT	47	punct
44	quien	PRON	47	nsubj
45	hoy	ADV	47	advmod
46	habría	AUX	47	aux
47	cumplido	VERB	40	acl
48	38	NUM	49	nummod
49	años	NOUN	47	obj
50	.	PUNCT	8	punct