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:
Rindfleisch étudia la médecine à Würzburg et Berlin, et passa le doctorat en 1859 auprès de Rudolf Virchow pour lequel il travailla ensuite jusqu'à 1861 comme assistant.
Postion	Tokenization
1	Rindfleisch
2	étudia
3	la
4	médecine
5	à
6	Würzburg
7	et
8	Berlin
9	,
10	et
11	passa
12	le
13	doctorat
14	en
15	1859
16	auprès
17	de
18	Rudolf
19	Virchow
20	pour
21	lequel
22	il
23	travailla
24	ensuite
25	jusqu'
26	à
27	1861
28	comme
29	assistant
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Rindfleisch	PROPN	2	nsubj
2	étudia	VERB	0	root
3	la	DET	4	det
4	médecine	NOUN	2	obj
5	à	ADP	6	case
6	Würzburg	PROPN	2	obl:mod
7	et	CCONJ	8	cc
8	Berlin	PROPN	6	conj
9	,	PUNCT	11	punct
10	et	CCONJ	11	cc
11	passa	VERB	2	conj
12	le	DET	13	det
13	doctorat	NOUN	11	obj
14	en	ADP	15	case
15	1859	NUM	11	obl:mod
16	auprès	ADV	11	advmod
17	de	ADP	18	case
18	Rudolf	PROPN	16	obl:arg
19	Virchow	PROPN	18	flat:name
20	pour	ADP	21	case
21	lequel	PRON	23	obl:mod
22	il	PRON	23	nsubj
23	travailla	VERB	18	acl:relcl
24	ensuite	ADV	23	advmod
25	jusqu'	ADP	27	case
26	à	ADP	27	case
27	1861	NUM	23	obl:mod
28	comme	ADP	29	case
29	assistant	NOUN	23	obl:mod
30	.	PUNCT	2	punct