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:
Marcel Faure-Beaulieu, né en 1878 et mort en 1959, fut un médecin français qui, le premier, traduisit Le Sentiment tragique de la vie, de Miguel de Unamuno.
Postion	Tokenization
1	Marcel
2	Faure-Beaulieu
3	,
4	né
5	en
6	1878
7	et
8	mort
9	en
10	1959
11	,
12	fut
13	un
14	médecin
15	français
16	qui
17	,
18	le
19	premier
20	,
21	traduisit
22	Le
23	Sentiment
24	tragique
25	de
26	la
27	vie
28	,
29	de
30	Miguel
31	de
32	Unamuno
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Marcel	PROPN	14	nsubj
2	Faure-Beaulieu	PROPN	1	flat:name
3	,	PUNCT	4	punct
4	né	VERB	1	acl
5	en	ADP	6	case
6	1878	NUM	4	obl:arg
7	et	CCONJ	8	cc
8	mort	VERB	4	conj
9	en	ADP	10	case
10	1959	NUM	8	obl:arg
11	,	PUNCT	4	punct
12	fut	AUX	14	cop
13	un	DET	14	det
14	médecin	NOUN	0	root
15	français	ADJ	14	amod
16	qui	PRON	21	nsubj
17	,	PUNCT	19	punct
18	le	DET	19	det
19	premier	ADJ	21	obl:mod
20	,	PUNCT	19	punct
21	traduisit	VERB	14	acl:relcl
22	Le	DET	23	det
23	Sentiment	NOUN	21	obj
24	tragique	ADJ	23	amod
25	de	ADP	27	case
26	la	DET	27	det
27	vie	NOUN	23	nmod
28	,	PUNCT	30	punct
29	de	ADP	30	case
30	Miguel	PROPN	23	nmod
31	de	ADP	30	flat:name
32	Unamuno	PROPN	31	flat:name
33	.	PUNCT	14	punct