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:
L'autre partie de la Armée devait d'attaquer à proximité de Narew, attaquer le long de la rivière Bug, et prendre la direction de Brest-Litovsk.
Postion	Tokenization
1	L'
2	autre
3	partie
4	de
5	la
6	Armée
7	devait
8	d'
9	attaquer
10	à
11	proximité
12	de
13	Narew
14	,
15	attaquer
16	le
17	long
18	de
19	la
20	rivière
21	Bug
22	,
23	et
24	prendre
25	la
26	direction
27	de
28	Brest-Litovsk
29	.
Position	Tokenization	UPOS	Head	Deprel
1	L'	DET	3	det
2	autre	ADJ	3	amod
3	partie	NOUN	7	nsubj
4	de	ADP	6	case
5	la	DET	6	det
6	Armée	NOUN	3	nmod
7	devait	VERB	0	root
8	d'	ADP	9	mark
9	attaquer	VERB	7	xcomp:obj
10	à	ADP	11	case
11	proximité	NOUN	9	obl:mod
12	de	ADP	13	case
13	Narew	PROPN	11	nmod
14	,	PUNCT	15	punct
15	attaquer	VERB	9	conj
16	le	DET	15	advmod
17	long	NOUN	16	fixed
18	de	ADP	20	case
19	la	DET	20	det
20	rivière	NOUN	16	obl:arg
21	Bug	PROPN	20	appos
22	,	PUNCT	24	punct
23	et	CCONJ	24	cc
24	prendre	VERB	9	conj
25	la	DET	26	det
26	direction	NOUN	24	obj
27	de	ADP	28	case
28	Brest-Litovsk	PROPN	26	nmod
29	.	PUNCT	7	punct