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:
Il obtint une bourse et pu rejoindre le Mentsee Khang de Lhassa, l'Université médicale tibétaine de Lhassa, dont il est diplômé en 1996.
Postion	Tokenization
1	Il
2	obtint
3	une
4	bourse
5	et
6	pu
7	rejoindre
8	le
9	Mentsee
10	Khang
11	de
12	Lhassa
13	,
14	l'
15	Université
16	médicale
17	tibétaine
18	de
19	Lhassa
20	,
21	dont
22	il
23	est
24	diplômé
25	en
26	1996
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	obtint	VERB	0	root
3	une	DET	4	det
4	bourse	NOUN	2	obj
5	et	CCONJ	6	cc
6	pu	VERB	2	conj
7	rejoindre	VERB	6	xcomp:obj
8	le	DET	9	det
9	Mentsee	PROPN	7	obj
10	Khang	PROPN	9	flat:name
11	de	ADP	12	case
12	Lhassa	PROPN	9	nmod
13	,	PUNCT	15	punct
14	l'	DET	15	det
15	Université	NOUN	9	appos
16	médicale	ADJ	15	amod
17	tibétaine	ADJ	15	amod
18	de	ADP	19	case
19	Lhassa	PROPN	15	nmod
20	,	PUNCT	24	punct
21	dont	PRON	24	obl:arg
22	il	PRON	24	nsubj
23	est	AUX	24	cop
24	diplômé	ADJ	15	acl:relcl
25	en	ADP	26	case
26	1996	NUM	24	obl:mod
27	.	PUNCT	2	punct