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:
Thoros, l'un des fils d'Héthoum I trouva la mort tandis que le second fils d'Héthoum I, futur Léon III d'Arménie, fut capturé.
Postion	Tokenization
1	Thoros
2	,
3	l'
4	un
5	des
6	de
7	les
8	fils
9	d'
10	Héthoum
11	I
12	trouva
13	la
14	mort
15	tandis
16	que
17	le
18	second
19	fils
20	d'
21	Héthoum
22	I
23	,
24	futur
25	Léon
26	III
27	d'
28	Arménie
29	,
30	fut
31	capturé
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Thoros	PROPN	11	nsubj
2	,	PUNCT	4	punct
3	l'	DET	4	det
4	un	PRON	1	appos
5	des	_	None	_
6	de	ADP	7	case
7	les	DET	7	det
8	fils	NOUN	4	nmod
9	d'	ADP	9	case
10	Héthoum	PROPN	7	nmod
11	I	NUM	9	nmod
12	trouva	VERB	0	root
13	la	DET	13	det
14	mort	NOUN	11	obj
15	tandis	ADV	30	mark
16	que	SCONJ	14	fixed
17	le	DET	18	det
18	second	ADJ	18	amod
19	fils	NOUN	30	nsubj
20	d'	ADP	20	case
21	Héthoum	PROPN	18	nmod
22	I	NUM	20	nmod
23	,	PUNCT	24	punct
24	futur	ADJ	24	amod
25	Léon	PROPN	18	appos
26	III	NUM	24	nmod
27	d'	ADP	27	case
28	Arménie	PROPN	24	nmod
29	,	PUNCT	24	punct
30	fut	AUX	30	aux:tense
31	capturé	VERB	11	advcl
32	.	PUNCT	11	punct