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 cherche alors à multiplier les rencontres avec des syndicalistes et des démocrates, dont Gustav Heinemann dont le but est d'œuvrer à la réunification d'une Allemagne antimilitariste et non alignée.
Postion	Tokenization
1	Il
2	cherche
3	alors
4	à
5	multiplier
6	les
7	rencontres
8	avec
9	des
10	syndicalistes
11	et
12	des
13	démocrates
14	,
15	dont
16	Gustav
17	Heinemann
18	dont
19	le
20	but
21	est
22	d'
23	œuvrer
24	à
25	la
26	réunification
27	d'
28	une
29	Allemagne
30	antimilitariste
31	et
32	non
33	alignée
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	cherche	VERB	0	root
3	alors	ADV	2	advmod
4	à	ADP	5	mark
5	multiplier	VERB	2	xcomp:obl
6	les	DET	7	det
7	rencontres	NOUN	5	obj
8	avec	ADP	10	case
9	des	DET	10	det
10	syndicalistes	NOUN	5	obl:mod
11	et	CCONJ	13	cc
12	des	DET	13	det
13	démocrates	NOUN	10	conj
14	,	PUNCT	16	punct
15	dont	PRON	16	nmod
16	Gustav	PROPN	10	appos
17	Heinemann	PROPN	16	flat:name
18	dont	PRON	20	nmod
19	le	DET	20	det
20	but	NOUN	21	nsubj
21	est	VERB	16	acl:relcl
22	d'	ADP	23	mark
23	œuvrer	VERB	21	ccomp:pred
24	à	ADP	26	case
25	la	DET	26	det
26	réunification	NOUN	23	obl:arg
27	d'	ADP	29	case
28	une	DET	29	det
29	Allemagne	PROPN	26	nmod
30	antimilitariste	ADJ	29	amod
31	et	CCONJ	33	cc
32	non	ADV	33	advmod
33	alignée	ADJ	30	conj
34	.	PUNCT	2	punct