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:
En 1976, il est choisi par Helmut Schmidt comme secrétaire d'État à la chancellerie fédérale et représentant du gouvernement à Berlin-Ouest.
Postion	Tokenization
1	En
2	1976
3	,
4	il
5	est
6	choisi
7	par
8	Helmut
9	Schmidt
10	comme
11	secrétaire
12	d'
13	État
14	à
15	la
16	chancellerie
17	fédérale
18	et
19	représentant
20	du
21	de
22	le
23	gouvernement
24	à
25	Berlin-Ouest
26	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	2	case
2	1976	NUM	6	obl:mod
3	,	PUNCT	2	punct
4	il	PRON	6	nsubj:pass
5	est	AUX	6	aux:pass
6	choisi	VERB	0	root
7	par	ADP	8	case
8	Helmut	PROPN	6	obl:agent
9	Schmidt	PROPN	8	flat:name
10	comme	ADP	11	case
11	secrétaire	NOUN	6	obl:mod
12	d'	ADP	13	case
13	État	PROPN	11	nmod
14	à	ADP	16	case
15	la	DET	16	det
16	chancellerie	NOUN	11	nmod
17	fédérale	ADJ	16	amod
18	et	CCONJ	19	cc
19	représentant	NOUN	11	conj
20	du	_	None	_
21	de	ADP	22	case
22	le	DET	22	det
23	gouvernement	NOUN	19	nmod
24	à	ADP	24	case
25	Berlin-Ouest	PROPN	19	nmod
26	.	PUNCT	6	punct