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:
Combien, d'ailleurs, savaient que ces cavaliers des steppes avaient, en 1241, conquis la Russie, écrasé les armées de Pologne et de Hongrie, le tout en trois ans ?
Postion	Tokenization
1	Combien
2	,
3	d'
4	ailleurs
5	,
6	savaient
7	que
8	ces
9	cavaliers
10	des
11	de
12	les
13	steppes
14	avaient
15	,
16	en
17	1241
18	,
19	conquis
20	la
21	Russie
22	,
23	écrasé
24	les
25	armées
26	de
27	Pologne
28	et
29	de
30	Hongrie
31	,
32	le
33	tout
34	en
35	trois
36	ans
37	?
Position	Tokenization	UPOS	Head	Deprel
1	Combien	ADV	6	nsubj
2	,	PUNCT	1	punct
3	d'	ADP	6	advmod
4	ailleurs	ADV	3	fixed
5	,	PUNCT	3	punct
6	savaient	VERB	0	root
7	que	SCONJ	18	mark
8	ces	DET	9	det
9	cavaliers	NOUN	18	nsubj
10	des	_	None	_
11	de	ADP	12	case
12	les	DET	12	det
13	steppes	NOUN	9	nmod
14	avaient	AUX	18	aux:tense
15	,	PUNCT	16	punct
16	en	ADP	16	case
17	1241	NUM	18	obl:mod
18	,	PUNCT	16	punct
19	conquis	VERB	6	ccomp:obj
20	la	DET	20	det
21	Russie	PROPN	18	obj
22	,	PUNCT	22	punct
23	écrasé	VERB	18	conj
24	les	DET	24	det
25	armées	NOUN	22	obj
26	de	ADP	26	case
27	Pologne	PROPN	24	nmod
28	et	CCONJ	29	cc
29	de	ADP	29	case
30	Hongrie	PROPN	26	conj
31	,	PUNCT	22	punct
32	le	DET	32	det
33	tout	NOUN	18	obl:mod
34	en	ADP	35	case
35	trois	NUM	35	nummod
36	ans	NOUN	32	nmod
37	?	PUNCT	6	punct